Performance comparison of neural network models: backpropagationvs. fuzzy artmap

DOI10.1080/00207160108805117zbMath1003.68013OpenAlexW1993017674MaRDI QIDQ2763948

Daehyon Kim

Publication date: 27 October 2002

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160108805117

zbMATH Keywords

neural networksadaptive resonance theoryfuzzy ARTMAP

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Cites Work

• Multilayer feedforward networks are universal approximators
• A massively parallel architecture for a self-organizing neural pattern recognition machine
• Multilayer feedforward neural networks: a canonical form approximation of nonlinearity
• Approximation by superpositions of a sigmoidal function

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