Probabilistic Neural Network all outputs the same

I have to create a PNN in matlab. To start, I am using a small dataset with only two classes. I am using the following code:

net = newpnn(train_data',train_class'); out = sim(net,test_data');

My ouput is array of all 1's.

Anyone have any suggestions?

Answer 1

[Greg Heath]

1.Normalize inputs to have zero mean and unit standard deviation via zscore or mapstd.

2. Train multiple designs in a loop over a spread value interval that includes the default value of 1. For example, spread = 0.1 : 0.1 : 2.