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Topic: Bug in Disable the Randomization of Weights and Bias in Neural Network
Replies: 5   Last Post: Mar 4, 2013 1:20 AM

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Greg Heath

Posts: 6,387
Registered: 12/7/04
Re: Bug in Disable the Randomization of Weights and Bias in Neural Network
Posted: Mar 1, 2013 2:40 AM
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"Subodh Paudel" <> wrote in message <kgn590$2uj$>...
> Hi Matlab Expert,
> I am using Matlab 2009a and 2009b. After my finding the weights and biases, i used the neural network; but it gives the different R2 value. I have used different methodologies to solve it. Because, my target is to fixed only the same weights for the >learning phase.

I don't understand , especially the last sentence.

Are you saying that when you insert trained weights into a new net, you get a different answer? If so, did you account for the fact that there is an automatic default normalization of variables that the weights act on?

> 1) When i obtain the weight and bias, after the newff .............., i disable the random initialization value and initialize my own weight. I did just like this:
> net=newff(P,T,H)
> stream = RandStream.getDefaultStream;
> reset(stream);
> net.IW{1,1}=input_weight;
> net.LW{2,1}=hidden_weight;
> net.b{1}=bias_hiddenneurons;
> net.b{2}=bias_output;
> Also, i found the randomization of the data using dividerand, then i also used below command to disable any randomization, but it does not work.
> net.divideFcn='';

This is the same as net.divideFcn = 'dividetrain' so there are no validationor training sets.

> 2) Finally, i used as rand state because in my matlab it does not support rng(0).......... It does not again work
> rand ('state',0)
> net=newff(P,T,H)
> net.IW{1,1}=input_weight;
> net.LW{2,1}=hidden_weight;
> net.b{1}=bias_hiddenneurons;
> net.b{2}=bias_out;

I assume that next you train the net?

> when i calculate my R¨^2 value from several trials and the best trails, my R¨^2 value is 0.95 and obtain the weights and bias from it; and put in th
> after the rand('state',0) and newff............, my R¨^2 value is 0.87, its value is decreasing, which i don't expect. Please, help me is there is bug in matlab or something i don't know the tricks to solve it.

I don't fully understand what you are doing.

Why don't you post your full code with comments and the results of a run on one of the MATLAB demo datasets.

help nndatasets.


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