Implementation of neural network equation
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jalpa shah
el 29 de Sept. de 2016
Comentada: mohit deshmukh
el 12 de Abr. de 2017
I am getting different output for neural network : O=purelin(W2*logsig(W1i*Xi+B1)+B2) when i implement in matlab and when i do it mathamatically in excel sheet. How to implement the equations of neural netwok. Actually I want to use this equation without using matlab once network is trained and tested.
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Greg Heath
el 30 de Sept. de 2016
The N I-dimensional "I"nputs are normalized from x to xn The N O-dimensional "O"utput targets are normalized from t to tn
The O-dimensional NORMALIZED targets are obtained from
yn = B2 + LW*logsig( B1 + IW * xn );
The final O-dimensional unnormalized outputs, y, are obtained from yn via the inverse tsetting of the original t to tn normalization of the target.
Hope this helps.
Thank you for formally accepting my answer
Greg
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mohit deshmukh
el 12 de Abr. de 2017
How can I get the preprocessing setting of the trained neural network. As I have tried the way it is explained above but still the answer is deviating. I normalised manually.
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