Artificial neural networks with quasipolynomial synapses and product synaptic contacts

DOI10.1007/BF00200830zbMath0786.92002OpenAlexW2092831154MaRDI QIDQ1314656

Ping Liang, Nadeem Jamali

Publication date: 27 March 1994

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00200830

zbMATH Keywords

gradient-descent algorithmsgeneralizability of learningmodified backpropagationproduct synaptic contactsquasipolynomial synapsestraining feedforward networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Multilayer feedforward networks are universal approximators
• A logical calculus of the ideas immanent in nervous activity
• Approximation by superpositions of a sigmoidal function
• Unnamed Item

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