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.

Filename	Size	Update
RBF.m	764	2013-11-07
data.m	134	2009-09-18
data.mat	46404	2009-09-18

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