I am trying to use 'prune' to prune the hidden layers in the following neural network. To start of with I define 1000 hidden neurons.

`load('x1Ay1Ax2Fy2A.mat')%For the Neural Network model:`

BDataARtraining=[x1A y1A];%create a 3rd order data set by staggering observations

BDataARpredictor=[x2F]; %hold out to test forcast

dim=size(BDataARtraining,2); %number of variables of multivariate

model = newfit(BDataARtraining(1:end,1:dim-1)',BDataARtraining(1:end,dim)',100);%create a Feedforward Neural Network with 3 inputs, 1 output and 100 hidden neurons

view(model)model2=prune(model);view(model2)

Please could you explain why model2 still has 100 hidden nodes after pruning (see view(model2) ) as I was expecting some to have been removed by pruning? I have tried starting with different numbers of hidden neurons and also get the same number after pruning as what I started with.

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