Neural Network Toolbox

plotpv

Plot perceptron input/target vectors

Syntax

• plotpv(P,T)
  

plotpv(P,T,V)

Description

plotpv(P,T) take these inputs,

• P -- R x Q matrix of input vectors (R must be 3 or less)

  T -- S x Q matrix of binary target vectors (S must be 3 or less)

and plots column vectors in P with markers based on T

plotpv(P,T,V) takes an additional input,

• V -- Graph limits = [x_min x_max y_min y_max]

and plots the column vectors with limits set by V.

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})
  

See Also

• plotpc
  

plotperf

plotsom

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