Some experimental evidence on the performance of GA-designed neural networks

DOI10.1080/09528130110067142zbMath1010.68666OpenAlexW2004281489MaRDI QIDQ4784356

James B. McDonald, James V. Hansen

Publication date: 12 May 2003

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09528130110067142

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Cites Work

• Boundary search procedure for the design and training of an ontogenic neural network classifier
• Very simple classification rules perform well on most commonly used datasets
• Approximation by superpositions of a sigmoidal function
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