137 results about "Training course" patented technology

The invention discloses a multi-agent cooperation system construction method, a medium and equipment, and the method comprises the steps: carrying out the task modeling of a target business scene, and constructing a task dependence graph; initial cooperation strength weights are set for the atomic tasks with the cooperation relationship, and multi-stage cooperation training courses from easy to difficult are generated based on the cooperation complexity of the atomic tasks; the intelligent agent is controlled to execute a task in a training course, interaction behavior data is collected, the overall task completion efficiency is calculated, the cooperation weight is dynamically updated, and interaction data and the updated weight are input into a reinforcement learning model to iteratively optimize a cooperation strategy; and finally, solidifying the converged cooperation strategy into the constructed multi-agent cooperation system. According to the invention, through the combination of course learning and reinforcement learning, the cooperation efficiency and robustness of the system in a complex business scene can be significantly improved.

The invention provides a safety training model, method and system based on a capability evaluation dynamic weight optimization model, and a computer medium, and the method specifically comprises the steps: building a capability-knowledge-course three-dimensional map model, building a three-dimensional mapping relation, and determining an initial weight; fusing, optimizing, adjusting and triggering subjective and objective weights dynamically based on student behavior data, generating a personalized curriculum recommendation sequence through a reinforcement learning algorithm, forming a state space by an ability evaluation vector and a knowledge mastery degree vector, and taking a curriculum resource set as an action space; the short-term learning efficiency and the long-term post assessment passing rate are used as reward functions to construct a recommendation strategy, meanwhile, the invention further provides a computer medium achieved based on the scheme, and the method can provide safety capability assessment means and training courses which are high in pertinence and good in accuracy for chemical enterprise employees.

The invention discloses a reinforcement learning model training method and device based on dynamic data selection and electronic equipment, and the method comprises the steps: carrying out the screening from an original mathematical problem data pool according to preset data quality, diversity and difficulty evaluation indexes, and obtaining a candidate training set; calculating a data validity score of each training sample in the candidate training set; difficulty filtering is carried out on the candidate training set, and an adaptive training course is constructed; further filtering the candidate training set according to the solution reasoning process and the reward score of the candidate training set; dynamically selecting a data subset for the current training period by setting a temperature parameter attenuated along with the training process and a probability threshold based on the further filtered candidate training set and the data validity score; the selected data subsets are put into a reinforcement learning model for training, and the reinforcement learning model is trained in an optimized mode according to the correctness reward and the format reward. The model training period can be remarkably shortened, and the performance equivalent to or even better than that of full data training is achieved.

Systems, methods, and computer-readable storage media for indexing a catalog of training content, and more specifically to indexing the catalog of training content using Artificial Intelligence (AI) to improve responses to queries. A system can execute a search of training course content stored in a database, identifying at least one of new training course content or updated training course content. Based on the media type of the each piece of content, the system can execute one or more data extraction algorithms, resulting in extracted data for each piece of new or updated content. The system can then add the extracted data to a semantic search index.

Provided in the present application are a training system and method for the field of survey design, and a storage medium and a device. The training system comprises: a data collection module, which is configured to acquire student data and training data in the field of survey design; a knowledge graph construction module, which is configured to construct a training knowledge graph on the basis of the training data; a profile generation module, which is configured to generate a student profile on the basis of the student data, and generate a course profile on the basis of a training course in the field of survey design; and a training plan generation module, which is configured to use an artificial intelligence model to generate a personalized training plan on the basis of the student profile, the course profile and the training knowledge graph. The training system can generate a personalized training plan and has good training effects.

The invention relates to the technical field of enterprise training, and discloses an enterprise training course generation method based on AI personalized customization, and the method comprises the steps: S1, data collection, S2, AI model construction and training, S3, course content generation, S4, course optimization and evaluation, and S5, course release and update. Through comprehensive collection of employee information, deep analysis of post requirements and accurate evaluation of employee performance, skill weakness and learning requirements of employees can be accurately positioned, personalized curriculum generation is carried out by using an AI technology, high matching of training contents and individual requirements of the employees is ensured, and training efficiency is improved. For example, courses customized for technology research and development personnel focus on the latest technology trend and research and development method, and courses of marketing personnel focus on market dynamics and marketing strategies, so that the learning enthusiasm and participation degree of employees are effectively improved, and training resources are more reasonably utilized.

Systems, methods, and computer-readable storage media for using distinct Artificial Intelligence algorithms to review incident reports and identify, within a corpus of training courses, which courses would be best for mitigating or preventing future incidents. A system can receive an incident record involving an individual human being involved in an incident, then analyze that incident record by executing a first Artificial Intelligence (AI) algorithm, resulting in a natural language incident summary. The system can then generate, by executing a second AI algorithm using the natural language incident summary, corrective training recommendations for the individual human being, the corrective training recommendations predicted to perform at least one of mitigating or preventing the incident from occurring again, and provide those corrective training recommendations to an authority over the individual human being.

The invention relates to the technical field of virtual reality, and discloses a hydraulic power plant operation training system and method based on the virtual reality technology, and the method comprises the steps: firstly obtaining historical operation time series data of a hydraulic power plant, dividing the historical operation time series data into discrete operation segments, and obtaining operation segment time series data; constructing a hydraulic power plant operation knowledge graph based on the operation fragments and the operation fragment time sequence data; mapping the hydraulic power plant operation knowledge graph to a three-dimensional virtual space, and constructing a hydraulic power plant virtual reality scene; and finally, designing a VR operation training course based on the scene, and carrying out immersive VR operation training. According to the invention, hydraulic power plant operation knowledge is extracted by using a knowledge graph technology, and immersive operation training is carried out in combination with a virtual reality technology, so that the intuition, interactivity and immersion of training are greatly improved, and understanding and mastering of students on hydraulic power plant operation regulations and safety precautions are deepened.

The invention discloses a teacher teaching ability improvement training method and system, and the method comprises the steps: determining a plurality of evaluation dimensions for teacher teaching ability, obtaining a quantitative evaluation index of each evaluation dimension, and obtaining a plurality of high-quality training course resources according to the quantitative evaluation indexes; historical teaching state parameters input by each teacher are obtained, and teaching ability evaluation is carried out on each teacher; analyzing a teaching short board index and short board state description of each teacher according to an evaluation result, and determining capability improvement demand parameters; and screening out a target training course resource from the plurality of high-quality training course resources according to the ability improvement demand parameters, making a training plan based on the learning ability information of each teacher, and carrying out teaching ability improvement training on each teacher according to the training plan. According to the invention, accurate short board related ability training can be accurately carried out for teachers with different teaching levels, the training efficiency and stability are improved, the adaptability of training resources is ensured, and the practicability is improved.

The invention provides an online car-hailing driver qualification dynamic verification system and method based on multi-source information fusion. Comprising a multi-source information acquisition module used for receiving related data submitted by a driver end and performing consistency verification by using a person-certificate consistency detection algorithm to generate a first verification result; the data consistency comparison module is used for carrying out cross-certificate comparison and generating a second verification result; the automatic auditing and decision-making module is used for outputting a driver qualification auditing conclusion and a conclusion identifier according to a preset city auditing rule base and the second verification result; the training task management module is used for matching and distributing a training course task for the target driver account according to the conclusion identifier, and receiving a training completion state; and the vehicle authority control module is used for opening or keeping limitation on the order receiving authority of the target driver account according to the conclusion identifier and the training completion state, and dynamically adjusting the order receiving authority. According to the invention, rapid auditing, automatic training distribution, data linkage and real-time dynamic compliance management and control can be realized.

The invention discloses a child gait anomaly recognition feedback method and system based on plantar pressure data, and relates to the technical field of gait anomaly recognition, and the method comprises the steps: collecting the plantar pressure data of a target wearer through a sensor array, and carrying out the feature extraction of multi-dimensional gait feature parameters; comparing and analyzing the model with a child gait development standard model, and recognizing a gait abnormal mode; carrying out risk assessment on the target shoe wearer and dividing risk levels; performing gait analysis on the target wearer to generate an individualized gait analysis report; and performing gait correction analysis on the target wearer according to the individualized gait analysis report, and matching to generate a correction training course scheme. The technical problems that in the prior art, child gait evaluation lacks quantitative standards, detection intervention is disjointed, and personalized analysis based on a dynamic development model is lacked are solved, and the technical effects of achieving objective, accurate and intelligent recognition of child gait abnormity and improving the child gait health management level are achieved.

The invention belongs to the technical field of wisdom education, and particularly relates to a teaching, research and training integrated wisdom education management system, which comprises a teaching management module used for acquiring the learning progress of students and the teaching progress of teachers, and dynamically generating a teaching plan by adopting an artificial intelligence algorithm based on the learning progress of the students and the teaching progress of the teachers; the teaching and research management module is used for an online precise teaching and research teaching platform based on cloud computing to obtain an optimized teaching plan; the training management module is used for comprehensively analyzing teaching and teaching and research result data of teachers by adopting a multi-modal data fusion technology, identifying advantages and deficiencies of different teachers and automatically generating a personalized training course system by applying an intelligent algorithm; and the adjusting module is used for constructing all-around teaching effect evaluation ecology, accurately judging teaching intervention effect and feeding back the teaching intervention effect. Through modular design of teaching management, teaching and research management, training management and adjustment modules, intelligent education management integrating teaching, research and training is realized.

The invention relates to the technical field of accounting training, in particular to a financial training assessment management system based on a cloud platform, and the system comprises a data acquisition module which is used for obtaining the exercise assessment data of each student in a financial training course from a cloud server in real time; the financial training module is used for carrying out financial training on each trainee through the adjusted trainee financial training scheme; the examination and evaluation module is used for carrying out examination and evaluation on each student according to the financial training result and the multi-dimensional analysis result; and the cloud control module is used for feeding back a financial training instruction to the financial training module through the examination and evaluation result, and controlling the financial training module to feed back financial training suggestions to the trainees through the financial training instruction. The financial knowledge level condition of the training object can be analyzed, the requirements of different learners are effectively met, and then the actual effect of financial training is improved.

The invention relates to the technical field of rail traffic safety operation and maintenance, in particular to a rail traffic training method and system based on an AR intelligent head-mounted terminal, and the method comprises the steps: classifying rail traffic equipment into high-risk equipment and common equipment based on a preset fault library; generating a virtual training scene aligned with the physical space coordinates; based on a preset student skill portrait, a preset fault library and a preset operation instruction library, configuring a modular training course in the virtual training scene; acquiring operation data when a student executes the modular training course through an AR head-mounted terminal, wherein the operation data comprises spatio-temporal trajectory data, decision delay and an interaction log; based on the spatio-temporal trajectory data and the decision delay, a compliance score is generated through fusion; and generating a skill short board positioning report. The method has the advantages that effectiveness and safety of operation training of the rail transit equipment are improved, and high-precision positioning and targeted strengthening of short skill of trainees are achieved.

The invention discloses a cognitive evaluation system and method based on enterprise training, and the system comprises a training unit which is used for displaying the content of a corresponding training course through a display screen, and enabling employees to carry out the interaction and feedback through an interaction interface; the data acquisition unit is used for acquiring physiological data and behavior data of the employees in the training process in real time through a plurality of sensor modules arranged in the working environment of the employees; the analysis unit is used for analyzing the physiological data and the behavior data to obtain a corresponding cognitive analysis report, and the cognitive analysis report comprises the cognitive ability state, the training effect and the health condition of the employee; and the feedback and adjustment unit is used for dynamically adjusting the training course content or progress based on the cognitive analysis report and assisting an enterprise in performing performance evaluation and management on the employees. The learning condition and the health condition of the employees are comprehensively known, data support is provided for performance evaluation and talent management, and enterprises are helped to carry out personnel management and development planning more scientifically.

The invention relates to the technical field of medical simulation training, in particular to a simulation live wire treatment training method and system for high-risk orthopedic wounds, and the method comprises the following steps: calling preset explosion shock wave parameters, calculating the influence of shock waves on bones of multiple parts in combination with the stress-strain characteristics of bone tissues, and analyzing the mechanical response of the bone tissues, and simulating fracture injury conditions to obtain injury simulation data. According to the invention, through refined simulation of fracture injury and fracture complications, injury condition data are close to a real battlefield environment, students can visually understand dynamic evolution of wounds, and by collecting joint movement data of the students in real time and combining mechanical response of fracture parts, direct influence of treatment actions on the wounds is analyzed, so that the treatment effect of the wounds is improved. In the training process, wound state mapping is adjusted in real time, students are helped to understand operation feedback in real time, in combination with assessment of treatment skills, the skill level of the students is helped to be understood, a data basis is provided for adjusting training courses, and the skill training effect and efficiency are improved.

The invention discloses an online training course personalized recommendation method and system, and relates to the technical field of online education. The method comprises the following steps: acquiring multi-modal learning interaction data of a user, and constructing a course knowledge graph comprising courses, knowledge components and relationships between the courses and the knowledge components; processing the course knowledge graph by adopting a heterogeneous graph attention network so as to track the dynamic knowledge state of the user; estimating the cognitive load level of the user through a pre-trained cognitive load classification model based on the multi-modal learning interaction data; and based on the dynamic knowledge state and the cognitive load level, generating a personalized learning path in a deep reinforcement learning framework by maximizing a cumulative reward function combining knowledge gain reward and cognitive load balance reward.

The invention provides a marking task-oriented training course generation method and device, a medium and a product. The method comprises the steps of obtaining label sets corresponding to a plurality of service platforms respectively, wherein each label set comprises a label field and a corresponding label rule; based on entities pointed by the semantic information of the annotation fields in each annotation set, constructing an annotation knowledge graph; the annotation knowledge graph comprises a first node for representing an entity and a second node for representing an annotation field, a connection relationship for indicating semantic association is established between the first node and the second node, and each second node is associated with a corresponding annotation rule; if the annotation rules corresponding to different second nodes connected with the same first node in the annotation knowledge graph have differences, generating a cross-platform contrast training course based on the differences; and if the labeling rules corresponding to different second nodes connected with the same first node in the labeling knowledge graph are the same, generating a cross-platform unified training course.

The invention provides a teaching assistance system for improving job hunting ability, and belongs to the technical field of data management, and the system specifically comprises a discrete evaluation module which is responsible for determining whether the distribution aggregation degree of training courses of a target specialty meets the requirement, and a deviation recognition module which is responsible for recognizing whether the distribution aggregation degree does not meet the requirement or not when the distribution aggregation degree does not meet the requirement. The analysis processing module is responsible for acquiring an analysis processing strategy for determining the matching condition of the matching post of the target specialty and the employment post in the target employment website, and the identification processing module is responsible for determining an identification processing strategy for a user with an indefinite job hunting willingness portrait in the target specialty; and the consistency of the training data and the employment post data is improved.

The invention provides a supplier life cycle management method based on a dynamic portrait and AI enabling, and the method comprises the steps: taking a Kafka message queue as a unified data bus, accessing supplier multi-source data through an API interface, log collection and other modes, employing Flink to clean and convert high-speed data streams in real time, and carrying out the batch processing of large-scale historical data through an MRS; based on GuasDWS, constructing an evaluation model containing dimensions of quality control, delivery ability and the like, calculating supplier ability scores and generating ability short board labels; analyzing demands for the purchasers, screening and sorting to recommend suppliers, and pushing customized training courses matched with a short board for the suppliers; decision feedback and training effect data are collected through portal interaction, and a driving model and algorithm increment optimization are transmitted back. The problems of static lag and extensive matching of traditional management can be solved, and the supply chain management efficiency and toughness are improved.

The invention provides an enterprise employee training and development management system based on an online cloud platform. The enterprise employee training and development management system comprises a user management module used for obtaining user information of employee users; the curriculum library management module is used for establishing a curriculum library to store different classes of training curriculums and managing the stored training curriculums; the course recommendation module is used for calculating a recommendation degree factor of each course in a course library to the employee user in real time according to the user information of the employee user, and generating training course recommendation information for the employee user; and the learning evaluation module is used for evaluating the training effect of the employee user for the training course in the process that the employee user completes the training course, and updating the user information according to the training effect evaluation information. According to the invention, on the basis of a proposed training effect feedback mechanism, the recommended course is adjusted in real time, and the personalized adaptation effect and the intelligent level of employee training are helped to be improved.

The invention provides a remote first-aid cooperation platform construction method and system based on AI decision making. Belongs to the technical field of intelligent first-aid. The method comprises the following steps: selecting a communication frequency band; satellite communication data, sensor data and medical database information are mapped to a unified space-time coordinate system, a dynamic rescue scene model is constructed based on a knowledge graph, and key information is projected in real time through an AR interface; and a rescue scheme is generated and optimized in real time, and training courses are personalized. The switching interruption time is compressed from a millisecond level to a microsecond level through a pre-switching and conflict avoidance mechanism; data classification and distribution based on machine learning can maximize the transmission reliability of key data.

The invention provides an image analysis processing method and system for a law enforcement recorder, and belongs to the technical field of maintenance management, and the method specifically comprises the steps: carrying out the correlation of the deviation condition of a training course affecting a person in a law enforcement video of an untrained person, and the data of the law enforcement video as a basis; and determining an analysis processing scheme of the law enforcement video associated with the influencing personnel, determining an identification result of the illegal behavior associated with the influencing personnel by using the analysis processing scheme, and determining the law enforcement video associated with the influencing personnel by using the matching condition of the identification result and the law enforcement personnel having the training course of the law enforcement video of the untrained personnel. According to the method, the analysis processing sequence of the law enforcement videos of the untrained personnel is determined, and whether the residual law enforcement videos of the untrained personnel need to be continuously analyzed or not is determined based on the matching condition of the real-time analysis processing result and the law enforcement videos of the untrained personnel which are not subjected to analysis processing, so that the image analysis processing efficiency is improved.

The invention belongs to the technical field of system design optimization driven by artificial intelligence, and discloses a training course planning service method and system. A correlation feature matrix of scene fluctuation parameters and resource requirements is extracted through a quantum principal component analysis module, a system health degree attenuation signal is analyzed in combination with quantum Fourier transform, and dynamic scene features are generated; constructing a parameter tuning instruction set based on a quantum annealing algorithm, and driving a genetic algorithm to optimize design topology; and the micro-optimization units are distributed to the digital twin platform by using quantum superposition state mapping, and the collaborative verification module solves a resource reuse strategy through a variable component sub-algorithm to form a data closed-loop feedback link. According to the method, the problem of mismatching of static data and dynamic requirements is solved, and the real-time responsiveness and the resource optimization efficiency in a complex scene are improved.

The invention discloses an agricultural training path planning method based on data fusion, and relates to the crossing field of intelligent agriculture and online education technology. The method comprises the following steps: firstly, acquiring agricultural training course data represented by an agricultural knowledge graph, and collecting student personalized data of a target user and containing historical learned record information oriented to agricultural training courses and historical planting record information oriented to crops; then combining the two data to generate a skill mastering vector of the target user, after receiving a target crop planned to be planted by the target user, extracting a skill demand vector of the crop from an agricultural knowledge base, and then comparing and analyzing the two vectors to determine a skill difference vector of the target user; and finally, an agricultural training path is planned according to the skill difference vector and agricultural training course data, and an agricultural training course is pushed according to the path for the target user to learn, so that a highly personalized agricultural training path with target guidance can be generated for trainees.

The invention discloses a motor train unit driver state identification method and system. The method comprises the following steps: collecting multi-modal data; receiving the synchronized multi-modal data to recalculate the running scene of the vehicle; the illegal behavior of the driver is automatically identified through an improved identification model of the space-time attention network; the identified illegal behaviors are classified; automatically matching a corresponding reinforcement training course according to the type of the identified illegal behavior and associated scene information, and pushing the reinforcement training course to the simulated driving equipment to break a data barrier between a real vehicle and a simulator, so as to realize accurate training based on a real vehicle driving problem; multi-modal data fusion and a space-time attention network are applied, so that the accuracy and efficiency of violation recognition are improved; performing dynamic course matching based on violation classification and historical data; an evaluation report is automatically generated, manual intervention is reduced, and the management efficiency is improved; the system supports simulation driving of various motor vehicle models, and has good expandability.

The invention discloses an AI-based schizophrenia clinical thinking training simulation system, which relates to the technical field of artificial intelligence, and is characterized by comprising the steps of constructing a dynamic knowledge base, receiving and preprocessing multi-modal input, performing standardized mapping by extracting keywords, and then performing judgment of a rule layer and a semantic layer. A student question method and a standard answer method in the dynamic knowledge base are sent into a model for response generation, then four-dimensional quantitative scoring and clinical operation multi-dimensional scoring are carried out, error codes and positioning sentences thereof are output, and finally personalized training courses are recommended to students; and hot-updating the dynamic knowledge base continuous optimization model. According to the method, four dimensions of the ICD-10 diagnostic standard are converted into a quantitative scoring algorithm capable of being automatically executed, quantitative assessment of clinical operation specifications is integrated, a diagnosis and operation double-track evaluation system is constructed, the problems that a traditional method is lack of evaluation standards and high in subjectivity are solved, and the evaluation efficiency is improved. Therefore, the evaluation of the clinical thinking ability of the medical students becomes objective, comprehensive and evidence-based.

This invention relates to the field of computer software technology, specifically to a deep learning-based employee performance analysis and training course matching system and method. The system uses a multi-source data acquisition module to uniformly collect and standardize internal and external data to construct a complete employee dataset. An employee competency profile construction module extracts and fuses multimodal features from the data to generate dynamically updated multidimensional competency profiles. A performance weakness analysis engine analyzes the relationship between competency and performance, identifying weaknesses and strengths. A dynamic learning path planning module adjusts subsequent courses based on learning outcomes for continuous optimization. A training effectiveness evaluation and feedback module quantifies the training improvement effect and provides feedback to the system. A high-potential talent discovery and experience graph module constructs a reusable experience knowledge graph. An adaptive performance-competency causal evolution modeling module analyzes the causal relationship between competency and performance, dynamically adjusting competency weights and recommendation strategies.

The application discloses a kind of teacher teaching ability promotion training method and system, its method includes: determining multiple evaluation dimensions of teacher teaching ability, obtaining the quantitative evaluation index of each evaluation dimension, obtain multiple high-quality training course resources according to quantitative evaluation index;The historical teaching state parameter of each teacher is input and the teaching ability of each teacher is evaluated;According to the evaluation result, the teaching short board index and short board state description of each teacher are analyzed and the ability promotion demand parameter is determined;According to the ability promotion demand parameter, the target training course resource is filtered from multiple high-quality training course resources, and the training plan is formulated based on the learning ability information of each teacher, and the teaching ability promotion training is carried out according to the training plan for each teacher.It can accurately aim at different teaching level teachers for accurate short board related ability training, which improves the efficiency and stability of training, and also guarantees the adaptability of training resources, improves the practicability.

This invention relates to the field of intelligent education technology and discloses a tiered training method for editing skills based on deep learning. The method includes: constructing a training course library containing course units; using the course unit as the smallest learning unit, and based on the pre-dependencies of the course units, collecting real-time interactive operation data of learners to construct multi-dimensional feature vectors for learners; inputting the multi-dimensional feature vectors into a trained deep neural network model to output the learner's current assessed comprehensive course ability index; using a clustering method to divide all learners into three levels: basic, intermediate, and advanced; associating each level with a subset of course units, obtaining the matching degree between each learner's current assessed comprehensive course ability index and the difficulty coefficient, and generating a personalized course learning path recommendation for each learner. This invention achieves tiered training for learners' editing skills.