Disruption analysis for neural network topology evolution systems

Abstract

This paper presents a method for analyzing GA effectiveness for the evolution of neural networks. The analysis is based on the schemata of the (phenotype) neural network being evolved, as opposed to the traditional method of analyzing schemata disruptions at the genotype level. Comparisons between the two types of analysis are made. Empirical data is presented that indicates the greater validity of the analysis at the phenotype level.