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questions about SOM neural network

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sawaak

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Hi,
i have certain confusions about Self-Organizing Maps in neural networks.

As we know, we have to assign random weights as initial values in a SOM network. what is the rational behind this?? what will happen if we assign all the initial weights equally?? or assign them a value of zero??

waiting 4 quick reply..


thanks
sawaak
 

With most SOM algorithms you don't have to assign random weights. If all the initial stored reference vectors were the same the network will still train correctly.
 

Hi,
but if we assign equal initial weights to every neuron, then each neuron will behave in the same manner to inputs, so we can not get a 'winner neuron' in this case, then how the process proceeds??


thanks
sawaak
 

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