Radial basis function Neural network Example | RBF Neural Network code | Matlab example of RBF

In Neural Network one of the type is '(RBF) Radial basis function' network.This neural network is also one of the classifier in research area.More than tools are build this network.RBF network are used in Matlab and Weka tools.In this networks operates radial basis functions , like distance and centers.It easy to compute linear and time series data prediction.This network contain three layers.That layers are

1. Input Layer
2. Hidden Layer
3. Output layer(may be linear)

This network generate random weight to map the Input to output using radial basis function.This weight are hidden neurons.

here we put the example Matlab code of RBF neural network Training and Testing.

Training Process:

>> input = [1 2 3 4 5 6 7 8 9];

>> target = [2.0 4.1 5.9 6.8 7.4 8.4 9.4 10.3 11.9];

>> net = newrb(input,target,20);

NEWRB, neurons = 0, MSE = 8.47802

Testing :

>> test_input = 1.5;

>> Y = sim(net,test_input) % output value in Y.

Y =

3.9

above example giving a linear data we predict in interval of input data.

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