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?
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Accepted Answer
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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