Balaji

Active since 2014

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When I am my training a elman neural network it is working only with 5 or lower no. of hidden layers, as I tried to increase no of layers its giving only 50% accuracy which means network is not trained proparly. what could probably go wraong?
I am using R2010a, network is as follows, it is a elman neural network, trained with 'trainrp' and nguyen widrow algorithm is us...

mer än 11 år ago | 1 answer | 0

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Can any one tell me what is the simplest way to create an Elman nerual network(ENN), with 'trainrp'(resilint back propagation), whose weights are initalized by nguyen widrow algorithm with 20 hidden layers. Network which has very less random nature.
I am using R2010a, when I tried to create elman network wirh trainrp in 'nntool' I got errors, so please give me the code or the...

mer än 11 år ago | 1 answer | 0

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Can anyone tell me what are the random things that effect nerual network accuracy?
I used Nguyen widrow algorithm for generating bias values and layer initial weights using net = initnw(net,layerNumber); but s...

mer än 11 år ago | 0 answers | 0

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Question

How can I fix minmum mse requirement for neural network training mannually rather using default requirement?
I wish to stop traing automatically when mse falls below 0.0001, but system is waiting till it becomes 10^-14 or so.

mer än 11 år ago | 1 answer | 0

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For my 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
For my project work I have used Elman neural network(ENN), with Resilient back propagation algorithm, Nguyen widrow algorithm fo...

mer än 11 år ago | 2 answers | 0

2

answers