An improved determination approach to the structure and parameters of dynamic structure-based neural networks

DOI10.1016/J.AMC.2009.09.018zbMath1179.92004OpenAlexW2015915446MaRDI QIDQ1044456

Da-Wei Jin, Jun Lu

Publication date: 18 December 2009

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2009.09.018

zbMATH Keywords

optimizationsimulationgenetic algorithmsorthogonal genetic algorithm with quantizationstructure determinationstructure-based neural networks

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Neurogenetic learning: An integrated method of designing and training neural networks using genetic algorithms

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