This paper proposes an Improved Non-dominated Sorting Genetic Algorithm or INSGA aimed to the multi-objective optimization problem in RBF network. The experimental results of commerce order- predicting show that the new algorithm can effectively solve the parameters optimization problem of RBF network which the optimization criterions are composed of training error and testing error.
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肖忠良,李智勇,贾宜. 一种改进的RBF神经网络多目标优化算法[J]. 科学技术与工程, 2009, 9(21): . xiao zhongliang, LI Zhi-yong, Jia Yi. An Improved Multi-Objective Optimization Algorithm for RBF Neural Network[J]. Science Technology and Engineering,2009,9(21).
