Complex-Valued Neural Networks: A Comprehensive Survey

Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counter-parts in speech enhancement, image and signal processing. Researchers throughout the years have made many efforts to improve the learning algorithms and activation functions of CVNNs. Since CV...

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Vydáno v:	IEEE/CAA journal of automatica sinica Ročník 9; číslo 8; s. 1406 - 1426
Hlavní autoři:	Lee, ChiYan, Hasegawa, Hideyuki, Gao, Shangce
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway Chinese Association of Automation (CAA) 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Faculty of Engineering,University of Toyama,Toyama 930-8555,Japan
Témata:	Algorithms Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning Image enhancement Image segmentation Machine learning Magnetic resonance imaging Neural networks Pattern classification Recurrent neural networks Signal processing Signal processing algorithms Speech enhancement Speech processing Wind forecasting Complex activation function complex-valued neural network deep learning complex backpro-pagation algorithm complex-valued learning algorithm
ISSN:	2329-9266, 2329-9274
On-line přístup:	Získat plný text
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