The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.

Filename	Size	Update
PNN.m	626	2013-11-02
data.m	134	2009-09-18
data.mat	46404	2009-09-18

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