Pattern Recognition Training Model

I am trying to train a pattern recognition model using a basic Adaline filter.

I have my input as: p1 = [1 -1 1 1 -1] p2 = [1 1 1 1 -1]

And the target of p1 is 1, and the target of p2 is -1.

Do I need to make t1 and t2 a vector also? Or can I simply set: t1 = 1; t2 = 1;

Thanks!

Answer 1

[Greg Heath]

In general, data for neural nets are N PAIRS of I-dimensional "I"nputs and O-dimensional "O"utput targets. the size of the matrices are

 [ I N ] = size(input)

 [ O N ] = size(target)

Thank you for formally accepting my answer

Greg