i want a simple matlab code to Implement backpropagation (BP) on feedforward neural n/w (FFNW).

Choose the learning rate judiciously. Study convergence time, local minima, saturation, effect of initialization, effect of learning rate and momentum factor. 1 and 0 decisions are based on the output being above the high water mark or being below the low water mark. it is the full que..

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Most of the MATLAB examples with 0 1 outputs are classification/pattern-recognition problems. For documentation see
help patternnet
doc patternnet
For data see
For relevant posts on PATTERNNET search both NEWSGROUP and ANSWERS
Hope this helps.
Thank you for formally accepting my answer
Greg

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