For my project work I have used Elman neural network(ENN), with Resilient back propagation algorithm, Nguyen widrow algorithm for generating initial layer values. I observed lot of difference between outputs for different trial, when for the first time I trained network it gave 94% accuracy and the second time with same inputs and targets I got 64% only. After training for the first time I didn't saved the network. please suggest me ways to avoid the difference between consecutive trials. I am using Matlab 2010 and I created ENN using nntool, and then using code I turned it into 'trainrp' as creating ENN with 'trainrp' gave me error.
MATLAB: For the project work I have used Elman neural network, with Resilient back propagation algorithm, Nguyen widrow algorithm for generating initial layer values. I observed lot difference between outputs in different trials
Deep Learning Toolboxennrbp
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