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IWANN
2007
Springer

A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems

10 years 9 months ago
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is compared with the traditional evolutionary techniques used for ANN development. The technique used here is based on network encoding on graphs and also their performance and evolution. For this comparison, 2 different real-world problems have been solved using various tools, and the results are presented here. According to them, the results obtained with this technique can beat those obtained with other ANN development tools.
Daniel Rivero, Julian Dorado, Juan R. Rabuñ
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IWANN
Authors Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Marcos Gestal
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