Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings

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Vydané v:	IEEE Transactions on Neural Networks and Learning Systems Ročník 34; s. 5189 - 5192
Hlavní autori:	Ivo Bukovsky, Gejza Dohnal, Peter M. Benes, Kei Ichiji, Noriyasu Homma
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Institute of Electrical and Electronics Engineers (IEEE) 01.08.2023
Predmet:	Computer Science - Machine Learning Computer Science - Neural and Evolutionary Computing Dynamical Systems (math.DS) FOS: Computer and information sciences FOS: Mathematics Machine Learning (cs.LG) Mathematics - Dynamical Systems Mathematics - Optimization and Control Neural and Evolutionary Computing (cs.NE) Optimization and Control (math.OC)
ISSN:	2162-237X, 2162-2388
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Popis
ISSN:	2162-237X 2162-2388
DOI:	10.1109/tnnls.2021.3123533