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There is no problem with your code. My result is :

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Success rate: 100%
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There is no problem with your code. code using 0.1. My result is :

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Success rate: 100%
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There is no problem with your code using 0.1. My result is :

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Success rate: 100%
Appuyez sur une touche pour continuer...

Now using 1.0 I have got same exception but you should use UPDATE_WEIGHT careffully. When you train first time, output are normalised between -0.98 and 0.98 : flag ANN_MLP::NO_OUTPUT_SCALE is not used . All new values in training data x must verified : -0.98<x&lt;0.98 if="" you="" don't="" use="" ann_mlp::no_output_scale="" in="" next="" call="" then="" data="" are="" checked="" and="" assertion="" is="" thrown.="" use="" ann_mlp::no_output_scale="" no="" assertion="" is="" thrown="" and="" results="" is="" :<="" p=""> -0.98 < x < 0.98 if you don't use ANN_MLP::NO_OUTPUT_SCALE in next call then data are checked and assertion is thrown. Use ANN_MLP::NO_OUTPUT_SCALE no assertion is thrown and results is :

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Success rate: 68.25%
68.25%