4 results about "Fuzzy data" patented technology

The application discloses an event-image deblurring method based on an LSTM, and comprises the following steps: constructing an event-image deblurring network model for processing a blurred image; training the event-image deblurring network by using training set data in a blurred data set, obtaining a trained event-image deblurring network model; inputting test set data in the blurred data set into the trained event-image deblurring network model, and obtaining a clear frame sequence. The advantages of time sequence information of events are fully used, the deblurring performance is improved, the generalization of the network is improved, one model can be used to complete deblurring output of any time resolution, and the time resolution of the output clear frame is controlled by the time resolution of the input event. Meanwhile, a bidirectional coding-decoding structure is used to enhance the deblurring effect of the network, and the method has the following advantages: one model needs to be trained, and any time resolution output can be achieved, so that the problem of limited generalization of the model is solved.

The present application relates to the technical field of power system planning evaluation, and more particularly to a method and system for dynamic evaluation of energy storage based on scenario joint debugging and risk early warning, the method comprising: constructing an evaluation index system; obtaining original index data of the energy storage technology to be evaluated under standard working conditions and performing dimensionless processing; calculating the first weight of each evaluation index using a grey correlation degree analysis method, calculating the second weight of each evaluation index using an entropy weight method, and obtaining a basic fusion weight by fusion; determining a scenario correction coefficient based on the demand proportion of grid frequency modulation and ramp service, and performing a first dynamic correction on the original index data; determining an environmental risk correction coefficient based on an extreme temperature environment, and performing a second dynamic correction on the original index data; and performing weighted calculation on the original index data and the basic fusion weight, and outputting a comprehensive utility score. Through the present application, the problems of lack of scene adaptability and environmental risk early warning and the problem of fuzzy data quantization in the existing energy storage evaluation method are effectively solved.

The embodiment of the application provides a kind of method and system for identifying air target based on fuzzy inference, it is related to target identification technical field.The method for identifying air target based on fuzzy inference includes: obtaining the multiple flight data corresponding to target aircraft at multiple times;According to the fuzzy processing of multiple flight data by preset flight parameter, generate multiple input variable fuzzy data;According to the multiple input variable fuzzy data obtained by preset intuitionistic fuzzy inference model and multiple output variable fuzzy data;The comprehensive identification result is obtained by fusing multiple output variable fuzzy data.The method for identifying air target based on fuzzy inference can realize the technical effect of the accuracy of air target identification.

This invention discloses a method and apparatus for recommending job postings based on career prediction, relating to the field of online recruitment technology. The method includes: acquiring user profile data of job seekers; predicting the next virtual work experience based on the job seeker's resume information; vectorizing the next virtual work experience to obtain vectorized representations of multiple virtual work experiences, and adding them to the user profile data; performing vector retrieval on the vectorized representations of all job posting information to obtain vectorized representations of several job postings that match the vectorized representations of the virtual work experiences; filtering and sorting the candidate set of job postings according to screening criteria, and using the sorted job postings as the job posting recommendation results for the job seeker. This invention significantly overcomes the strong dependence on explicit user needs, resume completeness, and behavioral data, effectively solving the problems of fuzzy job seeker needs, data sparsity, and cold start.