Description: This procedure is based on the gradient neural network radial basis function algorithm is implemented in MATLAB. With a 2-n-1 structure of RBF network model of the SISO system, the network of two input u (k-1) and y (k-1), output y (k). So that y (0) = 0, the linear system produced by flying 200 samples, of which the first 100 samples for training, after 100 samples for testing.
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RBF聚类算法.txt
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