本期“期刊推荐”专栏为大家推荐期刊“IEEE Transactions on Neural Networks and Learning Systems”,该刊影响因子在最新《期刊引证报告》电信领域排名第十五,高达6.108。期刊简介IEEE Transactions on Neural Networks and Learning Systems,月刊,主要发表神经网络
近日,生命科学与技术学院脑器交互研究团队在人工智能领域国际顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》和《IEEE Transactions on Systems, Man and Cybernetics: Systems》先后发表题为《An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of ...
近日,我院黄铠教授团队在国际电气与电子工程师协会(Institute of Electrical and Electronics Engineers)期刊Transactions on Neural Networks and Learning Systems(TNNLS)发表题为“Deep Learning Model Compression with Rank Reduction in Tenso...
近日,生命科学与技术学院脑器交互研究团队在人工智能领域国际顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》和《IEEE Transactions on Systems, Man and Cybernetics: Systems》先后发表题为《An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of ...
[1] Tao, Q., Li, L., Huang, X. et al. Piecewise linear neural networks and deep learning. Nat Rev Methods Primers 2, 42 (2022). [2] Yu, J., Wang, S. & Li, L. Incremental design of simplex basis function model for dynamic system identification. IEEE Transactions on Neural Net...
ieeetransactionsonneuralnetworksandlearningsystems 系统标签: neuralnetworkstransactionslearningsystemsnash IEEETRANSACTIONSONNEURALNETWORKSANDLEARNINGSYSTEMS,VOL.26,NO.8,AUGUST20151645 ApproximateN-PlayerNonzero-SumGame SolutionforanUncertainContinuous NonlinearSystem MarcusJohnson,RushikeshKamalapurkar,ShubhenduBhasin,and...
and manufacturing systems and processes. Included are power electronics and drive control techniques, system control and signal processing, fault detection and diagnosis, power systems, instrumentation, measurement and testing, modeling and simulation, motion control, robotics, sensors and actuators, ...
Non-saturated binary image learning and recognition using the ratio-memory cellular neural network (RMCNN) dIn this paper, cellular neural network with ratio memory is proposed for non-saturated binary image processing. The Hebbien learning rule will be used to ... CY Wu,C Hsieh,SH Chen,.....
Digital Twins and On-line Monitoring Technology of Electrical Equipment for New Power System Enhancing Distribution Network Operation through Flexible Demand-Side Participation Distributed Optimization and Machine Learning for Energy Inter...
近日,生命科学与技术学院脑器交互研究团队在人工智能领域国际顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》和《IEEE Transactions on Systems, Man and Cybernetics: Systems》先后发表题为《An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of ...