Description: RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and learning, fast convergence speed, and has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.
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RBF遗传优化
RBF遗传优化\RBF网络遗传算法优化程序
RBF遗传优化\RBF网络遗传算法优化程序\RBF网络遗传算法优化程序
RBF遗传优化\RBF网络遗传算法优化程序\RBF网络遗传算法优化程序\GA.m
RBF遗传优化\RBF网络遗传算法优化程序\RBF网络遗传算法优化程序\RBF.m
RBF遗传优化\RBF网络遗传算法优化程序\RBF网络遗传算法优化程序\Test.m
RBF遗传优化\RBF网络遗传算法优化程序\RBF网络遗传算法优化程序\pfile.mat
RBF遗传优化\RBF网络遗传算法优化程序\使用帮助：新手必看.htm
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