How to overcome poor prediction of neural network.

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I have created a neural network with nftool for prediction with default settings. Data used for input is matrix of 19x1140 i.e 19 input parameter and 1x1140 i.e 1 output parameter. The regression values comes around .99 and .98 but during prediction using sim(net,test) command it gives wrong prediction. How to solve this problem?

Accepted Answer

Greg Heath
Greg Heath on 28 Apr 2014
Use datadivision and as few hidden nodes as possible. Repeat multiple times to get a good set of random initial weights.
What do you mean by prediction ... the test set performance?

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