plotpc (Neural Network Toolbox)

Plot a classification line on a perceptron vector plot

plotpc(W,b)

Description

plotpc(W,B) takes these inputs,

W - S x R weight matrix (R must be 3 or less).

B - S x 1 bias vector.

and returns a handle to a plotted classification line.

plotpc(W,B,H) takes these inputs,

H - Handle to last plotted line.

and deletes the last line before plotting the new one.

This function does not change the current axis and is intended to be called after plotpv.

Examples

The code below defines and plots the inputs and targets for a perceptron:

p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
plotpv(p,t)

The following code creates a perceptron with inputs ranging over the values in P, assigns values to its weights and biases, and plots the resulting classification line.

net = newp(minmax(p),1);
net.iw{1,1} = [-1.2 -0.5];
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})