Using genetic algorithms with grammar encoding to generate neural networks

E. Vonk; L.C. Jain; L.P.J. Veelenturf

doi:10.1109/ICNN.1995.488965

Using genetic algorithms with grammar encoding to generate neural networks

E. Vonk, L.C. Jain, L.P.J. Veelenturf

Research output: Contribution to conference › Paper

9 Citations (Scopus)

108 Downloads (Pure)

Abstract

Kitano's approach to neural network design is extended in the sense that not just the neural network structure, but also the values of the weights are coded in the chromosome. Experimental results are presented demonstrating the capability of the technique in the solution of a standard test problem.

Original language	English
Pages	1928-1931
DOIs	https://doi.org/10.1109/ICNN.1995.488965
Publication status	Published - 1995
Event	1995 IEEE International Conference on Neural Networks, ICNN 1995 - University of Western Australia, Perth, Australia Duration: 27 Nov 1995 → 1 Dec 1995

Conference

Conference	1995 IEEE International Conference on Neural Networks, ICNN 1995
Abbreviated title	ICNN
Country	Australia
City	Perth
Period	27/11/95 → 1/12/95

Keywords

IR-56022

Access to Document

10.1109/ICNN.1995.488965

00488965
open

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Vonk, E., Jain, L. C., & Veelenturf, L. P. J. (1995). Using genetic algorithms with grammar encoding to generate neural networks. 1928-1931. Paper presented at 1995 IEEE International Conference on Neural Networks, ICNN 1995, Perth, Australia. https://doi.org/10.1109/ICNN.1995.488965

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