Evolving artificial neural network structures: experimental results for biologically-inspired adaptive mutations
DAMON A. MILLER, R. Arguello, G.W. Greenwood · 2005
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.