k-means function, RBF network can approximate any non-linear function, can deal with difficult-to-resolve regularity in the system, has good generalization ability, and has a fast learning convergence speed. It 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
Untitled2.m	7347	2018-01-03

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