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Browse Conference Publications > Evolutionary Computation, 200 ... Help

Evolving artificial neural network structures: experimental results for biologically-inspired adaptive mutations

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3 Author(s)
Miller, D.A. ; Dept. of Electr. & Comput. Eng., Western Michigan Univ., Kalamazoo, MI, USA ; Arguello, R. ; Greenwood, G.W.

Previous work has suggested incorporating a biologically inspired mutation operator that reflects vertebrate neuron growth and death rates into an evolutionary algorithm for evolving artificial neural network structures. This paper further investigates this proposed approach by presenting experimental results for two classifier problems.

Published in:
Evolutionary Computation, 2004. CEC2004. Congress on  (Volume:2 )

Date of Conference: 19-23 June 2004

Page(s):
2114 - 2119 Vol.2
Print ISBN:
0-7803-8515-2
INSPEC Accession Number:
8253662
Digital Object Identifier :
10.1109/CEC.2004.1331157
Product Type:
Conference Publications

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