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>5.5. Options</A
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>Table of Contents</B
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>fann_print_parameters</A
> -- Prints all of the parameters and options of the ANN.</DT
><DT
><A
HREF="r954.html"
>fann_get_training_algorithm</A
> -- Retrieve training algorithm from a network.</DT
><DT
><A
HREF="r972.html"
>fann_set_training_algorithm</A
> -- Set a network's training algorithm.</DT
><DT
><A
HREF="r993.html"
>fann_get_learning_rate</A
> -- Retrieve learning rate from a network.</DT
><DT
><A
HREF="r1007.html"
>fann_set_learning_rate</A
> -- Set a network's learning rate.</DT
><DT
><A
HREF="r1024.html"
>fann_get_activation_function_hidden</A
> -- Get the activation function used in the hidden layers.</DT
><DT
><A
HREF="r1040.html"
>fann_set_activation_function_hidden</A
> -- Set the activation function for the hidden layers.</DT
><DT
><A
HREF="r1060.html"
>fann_get_activation_function_output</A
> -- Get the activation function of the output layer.</DT
><DT
><A
HREF="r1076.html"
>fann_set_activation_function_output</A
> -- Set the activation function for the output layer.</DT
><DT
><A
HREF="r1096.html"
>fann_get_activation_steepness_hidden</A
> -- Retrieve the steepness of the activation function of the hidden layers.</DT
><DT
><A
HREF="r1112.html"
>fann_set_activation_steepness_hidden</A
> -- Set the steepness of the activation function of the hidden layers.</DT
><DT
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HREF="r1133.html"
>fann_get_activation_steepness_output</A
> -- Retrieve the steepness of the activation function of the output layer.</DT
><DT
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HREF="r1149.html"
>fann_set_activation_steepness_output</A
> -- Set the steepness of the activation function of the output layer.</DT
><DT
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HREF="r1170.html"
>fann_set_train_error_function</A
> -- Sets the training error function to be used.</DT
><DT
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>fann_get_train_error_function</A
> -- Gets the training error function to be used.</DT
><DT
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>fann_get_quickprop_decay</A
> -- Get the decay parameter used by the quickprop training.</DT
><DT
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HREF="r1224.html"
>fann_set_quickprop_decay</A
> -- Set the decay parameter used by the quickprop training.</DT
><DT
><A
HREF="r1242.html"
>fann_get_quickprop_mu</A
> -- Get the mu factor used by quickprop training.</DT
><DT
><A
HREF="r1257.html"
>fann_set_quickprop_mu</A
> -- Set the mu factor used by quickprop training.</DT
><DT
><A
HREF="r1275.html"
>fann_get_rprop_increase_factor</A
> -- Get the increase factor used by RPROP training.</DT
><DT
><A
HREF="r1290.html"
>fann_set_rprop_increase_factor</A
> -- Get the increase factor used by RPROP training.</DT
><DT
><A
HREF="r1308.html"
>fann_get_rprop_decrease_factor</A
> -- Get the decrease factor used by RPROP training.</DT
><DT
><A
HREF="r1323.html"
>fann_set_rprop_decrease_factor</A
> -- Set the decrease factor used by RPROP training.</DT
><DT
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HREF="r1341.html"
>fann_get_rprop_delta_min</A
> -- Get the minimum step-size used by RPROP training.</DT
><DT
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HREF="r1356.html"
>fann_set_rprop_delta_min</A
> -- Set the minimum step-size used by RPROP training.</DT
><DT
><A
HREF="r1374.html"
>fann_get_rprop_delta_max</A
> -- Get the maximum step-size used by RPROP training.</DT
><DT
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HREF="r1389.html"
>fann_set_rprop_delta_max</A
> -- Set the maximum step-size used by RPROP training.</DT
><DT
><A
HREF="r1407.html"
>fann_get_num_input</A
> -- Get the number of neurons in the input layer.</DT
><DT
><A
HREF="r1422.html"
>fann_get_num_output</A
> -- Get number of neurons in the output layer.</DT
><DT
><A
HREF="r1437.html"
>fann_get_total_neurons</A
> -- Get the total number of neurons in a network.</DT
><DT
><A
HREF="r1452.html"
>fann_get_total_connections</A
> -- Get the total number of connections in a network.</DT
><DT
><A
HREF="r1467.html"
>fann_get_decimal_point</A
> -- Get the position of the decimal point.</DT
><DT
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>fann_get_multiplier</A
> -- Get the multiplier.</DT
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