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Graph Neural Networks in Neural-Symbolic Computing
International ...Bhuyan, Bikram Pratim +3 more
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Evolving Computational Neural Networks Through Evolutionary Computation
2001Computational neural networks [CNNs] have been used widely in many application areas in recent years. Most applications use feedforward CNNs and the backpropagation [BP] training algorithm. There are numerous variants of the classical BP algorithm and other training algorithms, but all these training algorithms assume a fixed CNN architecture.
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Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art
IEEE Transactions on Microwave Theory and Techniques, 2022Feng Feng, Weicong Na, Jing Jin
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
IEEE Transactions on Neural Networks and Learning Systems, 2022Zewen Li, Fan Liu, Shouheng Peng
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Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2020O-Yeon Kwon, Min-Ho Lee, Cuntai Guan
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Mastering the game of Go with deep neural networks and tree search
Nature, 2016David Silver, Aja Huang, Arthur Guez
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