plotpv :: Functions (Neural Network Toolbox™)

plotpv(P,T) takes 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)

`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]

`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})

Purpose

Syntax

Description

Examples

See Also

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