Training algorithm for radial basis function neural network based on quantum-behaved particle swarm optimization

DOI10.1080/00207160802166465zbMath1185.68545OpenAlexW1974803434MaRDI QIDQ5852169

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Publication date: 26 January 2010

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

Full work available at URL: https://doi.org/10.1080/00207160802166465

zbMATH Keywords

system identificationtime seriesevolutionary algorithmRBF neural networkQPSO

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• Unnamed Item
• Self-organization and associative memory
• Nonlinear prediction of chaotic time series
• Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems

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