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>3.3. Precision of a Fixed Point ANN</A
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> The fixed point ANN is not as precise as a floating point ANN, furthermore it approximates the sigmoid function by a stepwise linear function. Therefore,
it is always a good idea to test the fixed point ANN after loading it from a file. This can be done by calculating the mean square error as described
<A
HREF="x161.html#example.calc_mse"
>earlier</A
>. There is, however, one problem with this approach: The training data stored in the file is in floating
point format. Therefore, it is possible to save this data in a fixed point format from within the floating point program. This is done by the function
<A
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>fann_save_train_to_fixed</CODE
></A
>. Please note that this function takes the decimal point
as an argument, meaning that the decimal point should be calculated first by using the
<A
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>fann_save_to_fixed</CODE
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> function.
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