New Approach of Recurrent Neural Network Weight Initialization

DOI10.1007/978-1-4020-8919-0_37zbMath1160.68506OpenAlexW1844056631WikidataQ57662964 ScholiaQ57662964MaRDI QIDQ5302465

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Publication date: 7 January 2009

Published in: Lecture Notes in Electrical Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4020-8919-0_37

zbMATH Keywords

nonlinear systembifurcationtrainingDTRNN

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• On stability of delayed cellular neural networks
• Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks)
• Complex dynamics and the structure of small neural networks
• SYNCHRONOUS AND ASYNCHRONOUS CHAOS IN COUPLED NEUROMODULES
• Elements of applied bifurcation theory
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