Skip to Main Content
Several concepts, such as "locus fitness" and "locus influencing factors", and a coding norm of "maximizing the locus influencing factors" are proposed, based on which the local search efficiency of genetic neural networks is analyzed. To counter the problem that "locus influencing factors" are too small, we modify the algorithm by rising the probabilities of mutation and crossover to improve the optimum seeking performance.
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on (Volume:3 )
Date of Conference: 2002