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- 2018-01-05
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Description: 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.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| PNN.m | 626 | 2013-11-02
|
| data.m | 134 | 2009-09-18
|
| data.mat | 46404 | 2009-09-18 |
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