Proposal of relative-minimization learning for behavior stabilization of complex-valued recurrent neural networks

DOI10.1016/S0925-2312(98)00093-9zbMath0922.68098OpenAlexW2076151603MaRDI QIDQ1286510

Hirofumi Onishi, Akira Hirose

Publication date: 3 May 1999

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(98)00093-9

zbMATH Keywords

relative-minimization learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Bifurcations in a delayed fractional complex-valued neural network ⋮ Multistability of complex-valued recurrent neural networks with real-imaginary-type activation functions

This page was built for publication: Proposal of relative-minimization learning for behavior stabilization of complex-valued recurrent neural networks