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>6.2. API Reference</A
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>fann_create</A
> -- Creates an artificial neural network.</DT
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>fann_train</A
> -- Train an artificial neural network.</DT
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HREF="r2641.html"
>fann_save</A
> -- Save an artificial neural network to a file.</DT
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>fann_run</A
> -- Run an artificial neural network.</DT
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HREF="r2688.html"
>fann_randomize_weights</A
> -- Randomize the weights of the neurons in the network.</DT
><DT
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HREF="r2714.html"
>fann_init_weights</A
> -- Initialize the weight of each connection.</DT
><DT
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>fann_get_MSE</A
> -- Get the mean squared error.</DT
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>fann_get_num_input</A
> -- Get the number of input neurons.</DT
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>fann_get_num_output</A
> -- Get the number of output neurons.</DT
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>fann_get_total_neurons</A
> -- Get the total number of neurons.</DT
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>fann_get_total_connections</A
> -- Get the total number of connections.</DT
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>fann_get_learning_rate</A
> -- Get the learning rate.</DT
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>fann_get_activation_function_hidden</A
> -- Get the activation function of the hidden neurons.</DT
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>fann_get_activation_function_output</A
> -- Get the activation function of the output neurons.</DT
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>fann_get_activation_steepness_hidden</A
> -- Get the steepness of the activation function for the hidden neurons.</DT
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>fann_get_activation_steepness_output</A
> -- Get the steepness of the activation function for the output neurons.</DT
><DT
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>fann_set_learning_rate</A
> -- Set the learning rate.</DT
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>fann_set_activation_function_hidden</A
> -- Set the activation function for the hidden neurons.</DT
><DT
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>fann_set_activation_function_output</A
> -- Set the activation function for the output neurons.</DT
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>fann_set_activation_steepness_hidden</A
> -- Set the steepness of the activation function for the hidden neurons.</DT
><DT
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>fann_set_activation_steepness_output</A
> -- Set the steepness of the activation function for the output neurons.</DT
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