Computer ScienceMathematics

Jarmo Ilonen, J. Kämäräinen, J. Lampinen

2003.3.4NEURAL PROCESSING LETTERS

DOI: 10.1023/a:1022995128597

tlooto Summary

In this study, differential evolution has been analyzed as a candidate global optimization method for feed-forward neural networks and seems not to provide any distinct advantage in terms of learning rate or solution quality.

Abstract

Abstract is not available.

Citation format

ILONEN, Jarmo; KÄMÄRÄINEN, J.; LAMPINEN, J. Differential evolution training algorithm for feed-forward neural networks. NEURAL PROCESSING LETTERS, 2003, 17: 93–105.