100 results about "Cognitive learning" patented technology

A radio network management system, having at least one centralized node is described. The at least one centralized node includes a radio transceiver having more than one adjustable parameter. The centralized node also includes at least one adaptive tuning engine configured to make changes to the at least one adjustable parameter. A weighted analysis function is configured to provide a weighted analysis based on the output of the at least one adaptive tuning engine. Further, a cognitive learning function is configured to provide feedback to make optimally directed adjustments to the at least one adaptive tuning engine.

The invention provides an image recognition and recommendation method based on neural network depth learning. The method obtains pictures and classification from an image database, inputs to a convolution neural network, trains the neural network through repeated forward and backward propagation, improves image recognition accuracy, and extracts a 20-layer neural network model. By using this model, the object recognition and classification is carried out by collecting static pictures. Results are recognized, and by combining with the personalized characteristics of the input, the input probability of interest is analyzed. By using the machine learning model based on the effective recognition and classification of the material cloud database, and using the recommendation system algorithm, the predicted content material is pushed to the image inputter for cognitive learning. The method of the invention has the advantages of high image recognition rate, multiple recognition types and accurate content recommendation, and can be applied to the electronic products of a computer with a digital camera, a mobile phone, a tablet and an embedded system, so that people can photograph and recognize the objects seen in the eyes and actively learn the knowledge of recognizing the objects.

A cognitive information processing system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive machine learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive machine learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and, updating a destination based upon the learning result.

A method, system and computer readable medium for generating a cognitive insight comprising: receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system; performing a ranked insight machine learning operation on the training data; generating a cognitive profile based upon the information generated by performing the ranked insight machine learning operations; and, generating a cognitive insight based upon the cognitive profile generated using the plurality of machine learning operations.

The present invention provides an electronically interactive educational and/or cognitive learning method and system in which electronically reproduced text and imagery may have portions thereof selected and automatically converted into notes and/or cues, annotations automatically inserted therein, dictionary definitions, thesaurus meanings, word etymology and language conversions displayed or automatically inserted therein for a learning reference or note guide with respect to the text or imagery.

A cognitive information processing system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning operation applying the cognitive learning technique to generate a cognitive learning result; and, updating a destination based upon the learning result.

A method, system and computer readable medium for generating a cognitive insight comprising: receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system; performing a plurality of machine learning operations on the training data; generating a cognitive profile based upon the information generated by performing the plurality of machine learning operations; and, generating a cognitive insight based upon the profile generated using the plurality of machine learning operations.

The invention discloses a learning cognitive path generation method based on a cognitive map. A cognitive learning path is recommended to a learner in combination with the cognitive dimension ontologyand the course knowledge graph; firstly, a cognitive map modeling and constructing method is provided; on the basis, for a learner and a target learning unit are given, firstly, the current cognitivestate of a learner is recognized according to a learning log; a cognitive learning path of the target knowledge unit is generated by combining the cognitive ability of the target knowledge unit; andrecommendation and generation of cognitive paths in personalized learning can be realized, wherein a cognitive dimension ontology diagram is designed, it is guaranteed that learners can analyze and diagnose the learning situation of each knowledge unit in a finer-grained mode, a learning target cognition path is generated based on the course knowledge graph, and the algorithm integrating the cognition dimension, the learning record and the learner cognition attribute can better provide more accurate personalized learning services for the learners.

A cognitive learning method comprising: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising a plurality of cognitive learning operation lifecycle phases, the cognitive learning operation applying a cognitive learning technique to generate a cognitive learning result; and, updating a destination based upon the cognitive learning result.

A method, system and computer readable medium for generating a cognitive insight comprising: receiving content element data, the content element data representing a content element, the content element comprising an element of a corpus of content; performing a cognitive learning operation on the content element data, the cognitive learning operation identifying descriptive information associated with the content element; associating a cognitive attribute with the content element using the descriptive information associated with the content element.

A system and computer-readable medium for performing a cognitive learning operation comprising retrieving a plurality of cognitive suggestions; presenting the plurality of cognitive suggestions, the presenting comprising sequentially presenting each of the plurality of cognitive suggestions; monitoring user interactions of the user with the plurality of cognitive suggestions; generating user interaction data based upon the user interactions; processing the user interaction data to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, providing an indication of a preferred persona category for the user using the cognitive learning result.

A cognitive learning method comprising receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive machine learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive machine learning operation applying the cognitive learning technique via a machine learning algorithm to generate a cognitive learning result; and, updating a destination based upon the learning result.

The invention discloses a cascade reservoir optimal scheduling method based on a self-adaptive improved particle swarm optimization algorithm, and belongs to the field of water conservancy and hydropower. The cascade reservoir optimal scheduling method comprises the steps: obtaining basic information of a cascade reservoir system; constructing a cascade reservoir optimal scheduling model taking the water level of each time period in the reservoir scheduling period as a decision variable and the maximum generating capacity as an objective function, and determining constraint conditions; initializing particle swarm parameters according to basic information and constraint conditions of the cascade reservoir system; calculating the relative progress of each particle, updating the inertia weight, cognitive learning factor and social learning factor of each particle according to the relative progress, and further updating the speed and position of each particle; and calculating the optimal adaptive value after the particle swarm updating is completed, and obtaining the power generation capacity, the month end water level and the reservoir outlet flow of the cascade reservoir system in each month. According to the cascade reservoir optimal scheduling method, the particle swarm parameters are adaptively adjusted by using the particle relative progress, and the defect that the traditional particle swarm algorithm is easy to fall into local optimum is overcome, and the power generation benefit of the cascade reservoir is improved.

A cognitive learning method comprising: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning operation applying the cognitive learning technique to generate a cognitive learning result; and, updating a destination based upon the learning result.

The invention discloses a multi-frame optimization method and device for handheld photographic shake prevention and a mobile terminal. The method comprises the following steps: receiving a photographic preview instruction, acquiring cached image frames of a photographed scene and storing the cached image frames into an image cache queue; receiving a photographic instruction; judging that the vibration trend from beginning to end rises or falls within a first threshold time period t1 and within a second threshold time period t2 by using the photographic instruction trigger time as an origin; searching a vibration trend mapping relation table to obtain a photographic optimization strategy; determining a photographed image according to the photographic optimization strategy and outputting the photographed image. By adopting the solution, the multi-frame optimization method has a dynamic cognitive learning function, has strong photographic environment adaptability, significantly improves the photographic success rate, avoids fuzzy photos caused by photographic shake, and brings better operation experience to the user of the mobile terminal.

The invention discloses a time sequence prediction method and device based on an intuitive cyclic fuzzy neural network, and the method comprises the steps: receiving a time sequence data sample, and dividing the time sequence data sample into a plurality of groups of sub-samples; sequentially inputting the plurality of groups of sub-samples into an interval II type intuitive fuzzy inference systemfor fuzzy processing and learning prediction; after a group of samples are input into the system network, updating the system network by adopting a meta-cognitive learning algorithm according to thegenerated prediction error and the spherical situation; the interval II type intuitive fuzzy inference system comprises an input layer, a fuzzification layer, a space emission layer, a time trigger layer and an output layer. The fuzzification layer uses a TSK type fuzzification rule; wherein the spatial emission layer is used for obtaining the membership degree and the non-membership degree of input data, the spatial emission layer is used for carrying out dimension reduction processing on the membership degree and the non-membership degree, the time trigger layer is used for establishing a time relation for the data by using LSTM recursion, and the output layer is used for carrying out defuzzification processing based on a center to output the data.

A cognitive method, system and computer readable medium comprising: monitoring a user interaction of a user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; associating a cognitive profile with the user based on the cognitive learning result; and, performing a cognitive procurement assistant operation based upon the cognitive profile, the cognitive procurement assistant operation assisting the user in performance of a procurement task.

A system and computer-readable medium for performing a cognitive learning operation comprising monitoring a user interaction of a user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, associating a cognitive profile with the user based the cognitive learning result.

The invention discloses an interactive cognitive learning based downlink power adjusting method and device and relates to the communication technology. Femtocells which are served as intelligent agents having learning capabilities, set improvement of networking performance to be a learning target and perform network optimization due to adjustment of power distribution of a resource block. The femtocells can perform interactive learning according to the communication similarity and the specialized knowledge to improve the learning efficiency and meanwhile save long-time energy consumption caused by learning experience accumulation through an air interface individually except self-learning development. Network optimization through adjustment of power distribution of the resource bock can reduce interference from the hybrid networking and improve the handling capacity. Femtocell gateways are served as case libraries, the femtocells can perform interactive learning to improve the learning efficiency and meanwhile save the long-time energy consumption caused by learning experience accumulation through the air interface except self-learning.

A cognitive learning method comprising: receiving data from a plurality of data sources; processing the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation applying a cognitive learning technique to generate a cognitive learning result; and, updating a destination based upon the learning result.

Selecting an optimal date for a planned event is provided. Event input data is received that includes at least one of a location for a planned event, a range of dates for the planned event, attributes of a target audience for the planned event, and attributes of the planned event. Web search data and social media data corresponding to the received event input data are retrieved. The received event input data and the retrieved web search data and social media data that correspond to the received event input data are analyzed using natural language processing to identify a set of optimal dates to maximize attendance of the target audience at the planned event. The identified set of optimal dates for the planned event is ranked based on weights assigned to each of the attributes of the target audience and the attributes of the planned event.