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Topic: Training NN with outputs not with vectors but matrices
Replies: 9   Last Post: Nov 23, 2009 3:21 AM

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Takis Pan

Posts: 5
Registered: 11/9/09
Training NN with outputs not with vectors but matrices
Posted: Nov 9, 2009 8:23 AM
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Hello,

I would appreciate if anyone could give me an answer to this problem. I was wondering if a MLP neural network could be trained giving at the output layer not a vector (e.g. 4x1, which means 4 output nodes) but a matrix (e.g. 4x4). If this is possible, how many output nodes should I declare at the training of the network. For example I want the output of the network to be four pairs of x,y, namely, x1,y1 - x2,y2 - x3,y3 - x4,y4. I should note that x,y are independent variables.

Thank you in advance,

Takis

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