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486 results about "Information representation" patented technology
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Representation information is the extra structural or semantic information, which converts raw data into something more meaningful.
Knowledge graph completion method based on multi-mode visual angle perception and deep neural network
InactiveCN120950604ARelational databasesBiological modelsPattern recognitionInformation representation
The invention relates to the field of knowledge graph completion, provides a knowledge graph completion method based on multi-modal visual angle perception and a deep neural network, and aims to solve the problems of weak multi-modal information expression ability, rough fusion mode and insufficient structural reasoning ability in the prior art. According to the method, structure information, text description and visual image information of an entity in a knowledge graph are obtained, structure, text and image modal input is constructed respectively, and a graph neural network, a pre-training language model and a visual encoder are adopted for feature coding; weighted fusion and semantic enhancement of multi-modal features are realized through a visual angle fusion mechanism and hierarchical attention processing; cross-modal contrast learning is introduced to improve modal consistency; and carrying out triple reasoning by using a uniform Transform encoder, and verifying a completion result by scores. According to the method, multi-modal semantics are effectively integrated, the entity representation capability and the triple prediction accuracy are improved, the model robustness is enhanced, and the method is suitable for application scenes such as intelligent question answering and recommendation systems and has remarkable practical value and popularization prospects.
Owner:DALIAN NATIONALITIES UNIVERSITY
Industrial zero sample anomaly detection method and system based on cross-modal prompt learning
The invention discloses an industrial zero sample anomaly detection method and system based on cross-modal prompt learning, and relates to the technical field of computer vision and deep learning. The method comprises the following steps: acquiring RGB images and point cloud data containing product defects and normal states in an industrial scene, and preprocessing the point cloud data; constructing an anomaly detection model, preliminarily extracting information representation of the RGB image and the point cloud data by using the anomaly detection model, and performing further feature extraction and semantic alignment operation through prompt information; training the anomaly detection model based on a cross-modal collaborative mechanism, and testing the trained anomaly detection model by adopting a collaborative modulation strategy; and performing anomaly detection on a to-be-detected product by using the trained anomaly detection model. According to the method, the real-time defect detection precision and robustness can be remarkably improved in an industrial environment, especially under the conditions of data scarcity and complex modality.
Owner:SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN +2
BOM table generation method based on full life cycle management, computer equipment and computer readable storage medium
PendingCN121094720ADatabase updatingData processing applicationsInformation representationData mining
The invention relates to a BOM table generation method based on full life cycle management, computer equipment and a computer readable storage medium, and the method comprises the following steps: S1, generating a client matrix according to a product design document and an engineering material, and obtaining information in the client matrix; the customer matrix is presented in the form of a two-dimensional table, column information in the two-dimensional table represents serial numbers of product parts and / or components of different assembly levels, and row information at least comprises names, numbers, specifications and models of the product parts and / or components and parent component identifiers; s2, generating an in-plant BOM matrix according to the material key information, the in-plant material number, the in-plant inventory status and the supply chain constraint condition, inputting the in-plant BOM matrix into a preset management system to generate an electronic drawing and document database, and establishing a structured D-BOM; s3, comparing the client matrix information obtained in the step S1 with the D-BOM established in the step S2; s4, carrying out adjustment and optimization on the D-BOM; and S5, importing the optimized D-BOM into a client matrix, and generating a final BOM.
Owner:RI SHAN COMPUTER ACCESSORY (JIASHAN) CO LTD
Joint multi-modal entity relationship extraction method and system based on information representation and semantic alignment
ActiveCN121859903ADigital data information retrievalSemantic analysisPattern recognitionCorrelation coefficient
The invention discloses a joint multi-modal entity relationship extraction method and system based on information representation and semantic alignment, and the method comprises the steps: obtaining sample data composed of an original image and a text, and obtaining the feature representation of visual information and text information based on the sample data; aligning the feature representation of the visual information and the feature representation of the text information by using a progressive modal semantic alignment strategy; by introducing a multi-layer correlation mapping mechanism guided by fine granularity, the correlation coefficient represented by the features of the aligned visual information and text information is judged, and features irrelevant to a task core are filtered; performing visual representation and text interaction by using a multi-modal interaction module to obtain multi-modal semantic features; carrying out weighted mapping on the multi-modal semantic features by utilizing a routing weighting function, and finally obtaining multi-modal feature representation; and sending the multi-modal feature representation into a word pair relation label extractor, and extracting an entity, an entity relation and an entity attribute quintuple.
Owner:YANBIAN UNIV
Determination device and determination method
PendingUS20250299672A1Digital data information retrievalCharacter and pattern recognitionEngineeringInformation representation
Owner:SONY GROUP CORP
Power load prediction method based on interpretable multi-modal enhancement
The invention belongs to the technical field of power load prediction, and relates to a power load prediction method based on interpretable multi-mode enhancement, which comprises the following steps: 1, constructing a text representation mode of an original load time sequence through a multi-mode enhancement module; 2, time sequence modal information and text representation information of the load are embedded into a high-dimensional vector space through a two-channel coding module; 3, receiving an embedded vector of a time sequence mode through a multi-mode prediction module, and taking a representation vector of a multi-mode text as input; 4, realizing an interpretable multi-mode alignment module; according to the method, the effects among the multi-modal information are divided into uniqueness, redundancy and collaboration; by constructing a negative sample pair for training, alignment of multi-modal information representation is enhanced, and then the prediction performance of the model is improved.
Owner:XI AN JIAOTONG UNIV
Data annotation method and device, equipment and medium
The embodiment of the invention discloses a data annotation method and device, equipment and a medium. According to the scheme, the method comprises the steps of obtaining to-be-annotated data; obtaining to-be-labeled labeling type information for the to-be-labeled data; the annotation type information represents the type of annotation information which can be annotated by the to-be-annotated data; determining an annotation processing module corresponding to the annotation type information according to the annotation type information; the annotation processing module has a data annotation function of annotating annotation information corresponding to the annotation type information; and carrying out annotation processing on the to-be-annotated data by utilizing the annotation processing module to obtain annotated data containing annotation information.
Owner:ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Video quality evaluation method with rich information representation
The invention discloses a video quality evaluation method with rich information representation, which comprises the steps of spatial domain feature extraction, motion feature extraction, time sequence modeling and quality prediction, and is characterized in that a fused feature vector is input into a time domain convolutional network for time sequence modeling, and the feature dimension is reduced to 128; and finally, directly mapping the 128-dimensional features into the quality score of the video through a full connection layer. According to the method, spatial domain feature extraction, motion feature extraction, time sequence modeling and quality prediction are set, the spatial domain feature extraction part of the model considers different features represented by video frames in RGB and YIQ color spaces so as to fully extract the features of the video frames in the spatial domain, and in addition, in order to fully understand the relation between adjacent frames, the feature extraction part of the model considers the different features represented by the video frames in the RGB and YIQ color spaces. Motion information on a time sequence is supplemented by extracting motion features of a video, so that the model has better performance, the accuracy of model prediction is improved, the overall model has better performance and accuracy in video quality evaluation, and the overall effect of the model is improved.
Owner:JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS
Millimeter wave electrocardiogram reconstruction system and method based on adaptive MODWT and CNN-BiLSTM-CA
The invention discloses a millimeter wave electrocardiogram reconstruction system and method based on adaptive MODWT and CNN-BiLSTM-CA, and the method comprises the steps: collecting a tiny phase displacement signal of a target thoracic cavity region, and carrying out the multi-band decomposition and key component adaptive screening of an original signal through combining with a multi-scale stationary wavelet decomposition algorithm; and introducing a channel attention mechanism to enhance key information representation, inputting a reconstruction signal into a deep learning model combining a convolutional neural network and a bidirectional long-short term memory network, completing time sequence modeling and nonlinear mapping, and outputting a reconstruction waveform highly consistent with a standard electrocardiogram. According to the method, the signal reduction capacity under the complex interference condition is remarkably improved, high-precision and privacy-friendly remote physiological signal monitoring can be achieved under the condition of not depending on a lead electrode, and the method is superior to a traditional baseline model in the aspects of waveform reduction precision, signal time sequence consistency, model generalization capacity and the like; the method is suitable for various application scenes such as intelligent medical treatment.
Owner:YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
Blockchain-based data processing method and apparatus, device, and medium
PendingUS20250328903A1FinanceUser identity/authority verificationComputer networkTheoretical computer science
A blockchain-based data processing method, performed by a consensus node on a second blockchain, includes: obtaining a cross-chain message submitted by a forwarding service device, and obtaining a blockchain identification carried in the cross-chain message associated with cross-chain transaction data stored in a first blockchain; obtaining, in a second blockchain corresponding to the blockchain identification, block Merkle information corresponding to the first blockchain, and obtaining, in a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, the Merkle proof set including node information of one or more nodes in the block Merkle tree,; verifying validity of the cross-chain message according to the Merkle proof set and the block Merkle information; and obtaining a transaction execution result corresponding to the cross-chain message in response to verification succeeds, and storing the transaction execution result into the second blockchain.
Owner:TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Systems and methods according to LLM-based agent groups for generating and enhancing engineering data funnel output
Embodiments of the present disclosure relate to systems and methods according to LLM-based agent groups for generating and enhancing engineering data funnel outputs. A method of obtaining a target structured information representation from one or more documents indicating the same process plant by using an interactive large language model (LLM)-based agent group in the context of an industrial plant is disclosed. The method includes obtaining at least one of the one or more documents at the LLM-based agent group. Each LLM agent from the group of LLM-based agents is given a task and a role, and is associated with one or more data processing tools from a set of predetermined data processing tools based on the given task and role. The method includes: selecting two or more LLM-based agents from a group of LLM-based agents for processing the document; processing the document by one of the selected two or more LLM agents, and outputting a structured information representation as a result of the processing; causing the selected two or more LLM agents to interact with the structured information representation based on a task and a role given to the selected two or more LLM agents; and obtaining a target structured information representation based on a result of the interaction.
Owner:ABB (SCHWEIZ) AG
Neuromorphic data classification method based on gated space-time self-attention mechanism and spiking neural network
The invention discloses a neuromorphic data classification method based on a gating space-time self-attention mechanism and a spiking neural network, and the method comprises the following steps: 1, selecting a public neuromorphic data set, carrying out the data preprocessing, and dividing the data into a training set, a verification set and a test set; 2, constructing a pulse neural network model to perform neuromorphic data classification, and introducing a gating space-time self-attention mechanism into the model to adaptively capture a global dependency relationship of space and time dimensions and enhance the space-time information representation capability of the model; and 3, training the constructed spiking neural network model by using the training set and the verification set, testing the trained model by using the samples in the preprocessed test set after training is completed, and outputting a prediction classification result of the samples by the model. According to the method, the representation capability of the spiking neural network in spatial-temporal feature modeling is remarkably enhanced through a gating spatial-temporal self-attention mechanism, and the precision of a neuromorphic data classification task is improved.
Owner:XI AN JIAOTONG UNIV
Information pushing method and device and electronic equipment
PendingCN120835127ACharacter and pattern recognitionClosed circuit television systemsComputer graphics (images)Engineering
The embodiment of the invention relates to an information pushing method and device and electronic equipment, and the method comprises the steps: obtaining a natural language and a video generated through camera monitoring, and enabling the natural language to be used for determining a to-be-pushed video; determining feature data of the natural language to obtain first feature data; determining a first video based on a video generated by monitoring of the camera, and determining whether the first video is matched with the natural language based on at least two kinds of feature data of the first video and the first feature data; and under the condition that the first video is matched with the natural language, taking the first video as a to-be-pushed video, and pushing video information of the to-be-pushed video, the video information representing information of the to-be-pushed video. Therefore, the accuracy and / or timeliness of judging whether the concerned event occurs or not by the object such as the user can be improved.
Owner:SHENZHEN OCEANWING SMART INNOVATIONS TECHNOLOGY CO LTD
Geographic space entity vectorization method and system based on multi-modal fusion and metric learning
The invention discloses a geographic space entity vectorization method and a geographic space entity vectorization system based on multi-modal fusion and metric learning, which are used for solving the problems that the traditional geographic information representation is single and multi-source data cannot be effectively fused. The method comprises the following steps: firstly, carrying out multi-modal feature extraction on text and coordinate information of a geographic space entity; then, through a neural network model with an independent coding stream and a deep fusion layer, intelligently fusing the multi-modal features and projecting the multi-modal features to a unified embedded vector space; and finally, optimizing the model by adopting a metric learning normal form through a hybrid triple sampling strategy combining semantic and spatial constraints. The invention also provides a system for realizing the method. The system comprises a feature engineering module, a training set generation module, a model training module and a reasoning application module. The system can automatically complete the whole process from data preprocessing, model training to vectorization reasoning. Compared with the prior art, the method has the advantages that the embedded vector with high semantic distinction degree and accurate spatial perception capability can be generated, and the computability and intelligence of geographic spatial data are effectively improved.
Owner:SHANGHAI DIGITAL CITY PLANNING RESEARCH CENTER
A robot cognitive development method based on ontology semantics
The application discloses a robot cognitive development method based on ontology semantics, and comprises the following steps: constructing a robot article identification professional knowledge base based on attribute function and ontology information representation of article definition; information determination based on attribute discrimination and semantic search; and robot cognitive development based on attribute information addition. The application simulates the process of human memory, learning and cognition of articles based on an ontology semantic knowledge base, and through machine learning and sensor attribute information, the robot can actively cognize, learn, expand and accumulate learned knowledge and experience according to information data; the robot can continuously develop its cognitive ability through learning, automatically construct a robot article identification professional knowledge base of unknown articles, and based on a semantic structure of triplets, share knowledge and exchange operation logic between man and machine, so that the cognitive level of the robot is improved and the operation experience of an operator is improved.
Owner:SOUTH CHINA AGRICULTURAL UNIVERSITY
Power grid attack defense method, terminal equipment and storage medium
PendingCN121283669ASecuring communicationInformation technology support systemPathPingElectric power system
The invention is suitable for the field of power systems, and provides a power grid attack defense method, terminal equipment and a storage medium. The power grid attack defense method comprises the following steps: an edge node determines local abnormal information and a first response strategy according to local communication data, wherein the local abnormal information represents power grid attack information suffered by the edge node; determining local association information according to the local exception information and shared exception information of the adjacent nodes, wherein the local association information represents an association relationship between the edge node and the plurality of adjacent nodes; sending the local association information to the central node; obtaining traceability information obtained by the central node according to the local association information, wherein the traceability information represents attack source information and attack path information of the power grid attack; and determining a second response strategy according to the traceability information and the local abnormal information. Through the synergistic effect of the edge nodes and the center node, the full-chain identification and multi-point protection capabilities of the power system in a complex attack environment are improved.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID QINGHAI ELECTRIC POWER COMPANY
Synthesizing content using diffusion models in content generation systems and applications
Approaches presented herein provide for the generation of synthesized data from input noise using a denoising diffusion network. A higher order differential equation solver can be used for the denoising process, with one or more higher-order terms being distilled into one or more separate efficient neural networks. A separate, efficient neural network can be called together with a primary denoising model at inference time without significant loss in sampling efficiency. The separate neural network can provide information about the curvature (or other higher-order term) of the differential equation, representing a denoising trajectory, that can be used by the primary diffusion network to denoise the image using fewer denoising iterations.
Owner:NVIDIA CORP
Numerical control device, learning device, inference device and operation screen display method for a numerical control device
A numerical control device (1) comprises a learning data acquisition unit that receives learning data including operation log information and operation state information, and a model generation unit that, using the learning data, generates a learned model for inferring screen display data for displaying a new operation screen from the operation log information and the operation state information. The operation log information represents a user's operation performed on an operation screen of the numerical control device (1) that controls a machine tool and represents information of the operation screen used in the operation. The operation state information represents a condition of the machine tool at a time when the operation shown in the operation log information is performed.The new operation screen includes information searched by the user and extracted from several existing operation screens.
Owner:MITSUBISHI ELECTRIC CORP
Physical object traversal recognition detection method and device based on unmanned aerial vehicle equipment
ActiveCN120688985AInternal combustion piston enginesNeural learning methodsAlgorithmUncrewed vehicle
The invention relates to an entity object traversal recognition detection method and device based on unmanned aerial vehicle equipment. The method comprises the following steps: acquiring cargo information acquired by unmanned aerial vehicle equipment in a cargo storage area, wherein the cargo information represents cargo storage related information acquired by the unmanned aerial vehicle equipment running according to a preset flight path and sequentially acquiring each storage position in the cargo storage area; according to the entity feature category in the cargo information, a cargo recognition algorithm matched with the cargo information is determined, cargo feature information corresponding to the cargo information is recognized based on the cargo recognition algorithm, and the cargo feature information comprises the product model, the storage number and the storage position of the corresponding cargo; and comparing the cargo feature information with inventory information in a preset database to obtain an inventory analysis result of the cargo storage area. By adopting the method, the systematic analysis of the cargo storage state can be realized, and the accuracy of inventory management and the real-time performance of information updating can be improved.
Owner:ALADDIN UAV (SHENZHEN) CO LTD
Appless glanceable widgets
PCT designated stageWO2025221236A1Semantic analysisSoftware engineeringEngineeringInformation representation
A computing device is configured to receive a request for information. The computing device is further configured to generate a prompt. The computing device further configured to generate, using the prompt as input to a large language model, at least one user interface template that includes one or more placeholder user interface elements that correspond to placeholder information representing information of the request for information. The computing device is further configured to obtain the information of the request for information. The computing device is further configured to generate, using a selected user interface template from the at least one user interface template, a user interface, wherein the user interface includes one or more visual elements that each replace a respective placeholder user interface element of the one or more placeholder user interface elements. The computing device is further configured to output the user interface.
Owner:GOOGLE LLC
Method and apparatus for determining three-dimensional information, device, storage medium, and program product
A method for determining three-dimensional information of an object is performed by a computer device. The method includes: obtaining an image of an outer surface of a photographed object, the outer surface of the photographed object having n protruding stereoscopic units, and n being a positive integer; processing the image, to obtain frame information of at least one stereoscopic unit, the frame information including a first surface and a second surface of the stereoscopic unit in the image, the first surface being parallel to the second surface; and determining three-dimensional information of the stereoscopic unit based on the frame information of the stereoscopic unit, the three-dimensional information representing a position of the stereoscopic unit in the image and a protrusion degree of the stereoscopic unit in a direction perpendicular to the outer surface. This method helps reduce difficulty in obtaining three-dimensional information of a stereoscopic unit.
Owner:TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Interactive vitality monitoring and analysis system
A system may store information about a user's condition in a standardized format in a set of one or more non-transitory storage devices, wherein the information about the user's condition represents a user activity pattern of a user; receive sensor data from a plurality of different sensors; update, by a computing system comprising one or more computer processors, the information about the user's condition in the standardized format based on analysis of the sensor data to generate updated information about the user's condition, wherein the updated information about the user's condition indicates a change in the user activity pattern of the user; store the updated information about the user's condition in the set of one or more non-transitory storage devices, and generate, by the computing system, a message comprising the updated information about the user's condition.
Owner:RUTH ALAN HARRIS +1
Method for predicting sinking posture of open caisson
The invention discloses an open caisson sinking posture prediction method, which belongs to the technical field of open caisson sinking prediction, and comprises the following steps: constructing a primary data matrix according to on-site actual measurement time sequence data; smoothing the first-level data matrix by using a Savitz-Gauge filtering algorithm to obtain a second-level data matrix; constructing a third-level data matrix in combination with the second-level data matrix and the construction excavation information representation matrix; performing correlation analysis on the three-level data matrix by using three analysis methods to obtain a correlation characterization matrix; screening key variables by using the correlation characterization matrix to construct a four-level data matrix; performing dimension reduction processing on the four-level data matrix by using a principal component analysis method to obtain a principal component matrix; and training a long-short-term memory network by using the principal component matrix to obtain an open caisson sinking posture prediction model to perform open caisson sinking posture prediction so as to obtain an open caisson sinking posture prediction result. According to the method, the accuracy and stability of deep water open caisson sinking posture prediction can be improved.
Owner:中铁桥隧技术有限公司
Route selection method and related device
This application discloses a route selection method and a related device. A control entity determines first metric information of a first segment routing (SR) path, generates a first border gateway protocol (BGP) update message including the first metric information, and sends the first BGP update message to an ingress node of the first SR path, where the first metric information represents quality of the first SR path, the first metric information is used for route selection on a plurality of paths, each of the plurality of paths has a same IP prefix of a destination node, and the plurality of paths include the first SR path. According to the method, the control entity can send, to the ingress node of the SR path by using the BGP update message, the metric information that represents the quality of the SR path.
Owner:HUAWEI TECH CO LTD
Automatic driving track prediction method and device based on self-attention coding
The invention discloses an automatic driving track prediction method and device based on self-attention coding, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining the historical driving data of a target automatic driving vehicle; preprocessing the historical driving data to obtain standard historical driving data; based on a self-attention mechanism, carrying out coding fusion on the standard historical driving data to obtain target automatic driving vehicle information representation prediction data; and based on a self-attention mechanism, decoding the information representation prediction data of the target automatic driving vehicle to obtain a predicted driving track of the target automatic driving vehicle. The adaptability and generalization ability of the system in a complex and changeable road environment are enhanced, and the accuracy of a prediction result and the driving safety are improved.
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
Remote sensing image classification method and system based on change perception and space-time fusion
ActiveCN121505370AScene recognitionNeural learning methodsClassification methodsInformation representation
The invention discloses a remote sensing image classification method and system based on change perception and space-time fusion, and relates to the technical field of image data processing. The method takes a multi-temporal remote sensing image sequence as input, and adopts a hierarchical visual Transform backbone network to extract multi-level semantic features; extracting multi-stage change prior features through change prior branches based on the initial and end time phase difference images; performing scale alignment on the change prior features through a multi-stage feature time sequence fusion module, guiding and fusing the change prior features into a semantic feature sequence in a cross-time sequence injection mode, and executing time sequence pooling to generate multi-stage fusion features so as to enhance change information characterization and reduce interference caused by seasonal phenological difference; and finally, on the basis of the multi-stage fusion features, reconstructing high-resolution features stage by stage by adopting a multi-stage decoder comprising a guide fusion unit so as to improve boundary expression consistency and spatial detail fidelity, thereby improving the precision of a remote sensing image classification result.
Owner:THE ENG & TECHN COLLEGE OF CHENGDU UNIV OF TECH
Information processing device, information processing method, and information processing program
To appropriately evaluate the impact when vulnerability of an inspection target is attacked even in environments where it is impossible to directly access the inspection target.SOLUTION: An information processing device 10 comprises an extraction unit 20A and a registration unit 20B. The extraction unit 20A extracts first file path information representing a file path in an inspection target 30 of a file used for vulnerability inspection of the inspection target 30 by a vulnerability inspection tool 50A. The registration unit 20B registers second file path information representing the file path to the file copied from the inspection target 30 using the first file path information in second management information 16C in association with the first file path information.SELECTED DRAWING: Figure 1
Owner:KK TOSHIBA
Multi-task semantic compression method and device for traffic scene video stream, equipment and medium
PendingCN120856892ADigital video signal modificationNeural learning methodsEngineeringReference frame
The invention relates to a multi-task semantic compression method and device for traffic scene video streaming, equipment and a medium, and the method comprises the steps: inputting the splicing features of a current frame and a reference frame into a second semantic compression model, extracting the motion information features between the current frame and the reference frame layer by layer in a motion information encoder through employing a multi-layer convolutional neural network, generating and decoding a compressed motion information representation to generate a prediction frame; extracting a residual feature between the predicted frame and the current frame in a residual encoder of the second semantic compression model, compressing the residual feature by adopting a multi-layer down-sampling convolution operation to determine a compressed residual feature, and fusing the compressed motion information representation and the compressed residual feature to obtain a motion information representation; generating a reconstructed image of the current frame; and calling a pre-trained target detection model for decoding to detect the traffic scene target in the reconstructed image. According to the method, the problem of resource waste is solved, the calculation efficiency is improved, and the calculation overhead is saved.
Owner:GUANGDONG UNIV OF TECH
Lake and reservoir chlorophyll concentration prediction method based on SO-KNN model
The invention belongs to the technical field of water environment monitoring and early warning, and discloses a lake and reservoir chlorophyll a concentration prediction method based on an SO-KNN model. According to the invention, multi-time scale meteorological cumulative effect features are introduced to enrich information representation, and an SO-KNN intelligent prediction model is constructed. According to the method, under the conditions of data scarcity and non-equilibrium, the chlorophyll a concentration, especially the high-precision and strong-generalization prediction capability of the water bloom risk critical point, is remarkably improved. The model is simple in structure and efficient in calculation, the common defects of overfitting, insufficient generalization ability and the like of a complex machine learning model in the scene are effectively overcome, and a reliable and practical innovative technical solution is provided for early water bloom warning of northern reservoirs and water areas with similar data conditions.
Owner:DALIAN UNIV OF TECH
Cooperative transmission method, device, medium and product
Owner:SANECHIPS TECH CO LTD