[Solved] INT301 Lab 10-Radial Basis Function Neural Networks

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Radial Basis Function Neural Networks

The following exercise can be used to model an RBF network

    %Radial Basis Function Network    clear;close all;

    %Generate training data (input and target)    p = [0:0.25:4];    t = sin(p*pi);

    %Define and train RBF Network    net = newrb(p,t);    plot(p,t,'*r');hold;

    %Generate test data    p1 = [0:0.1:4];

    %Test network    y = sim(net,p1);

    plot(p1,y,'ob');    legend('Training','Test');    xlabel('input, p');    ylabel('target, t');

Part 1

Revise demo.m in Week 6 lab with RBF network, to demonstrate the capability of RBF network to model the XOR logic gate.

Part 2

Demonstrate the capability of an RBF to approximate the function f(t) = sin(t)*exp(-t/20); 0 < t < 50