(PECL fann >= 1.0.0) Sets the candidate limit bool fann_set_cascade_candidate_limit ( resource $ann, float $cascade_candidate_limit ) Sets the candidate limit. Parameters: ann Neural network resource. cascade_candidate_limit The candidate limit. Returns: Returns TRUE on success, or FALSE otherwise.

(PECL fann >= 1.0.0) Sets the cascade candidate change fraction bool fann_set_cascade_candidate_change_fraction ( resource $ann, float $cascade_candidate_change_fraction ) Sets the cascade candidate change fraction. Parameters: ann Neural network resource. cascade_candidate_change_fraction The cascade candidate change fraction.

(PECL fann >= 1.0.0) Sets the array of cascade candidate activation steepnesses bool fann_set_cascade_activation_steepnesses ( resource $ann, array $cascade_activation_steepnesses_count ) Sets the array of cascade candidate activation steepnesses. See fann_get_cascade_num_candidates() for a description of which candidate neurons will be generated by this array. Parameters: ann

(PECL fann >= 1.0.0) Sets the array of cascade candidate activation functions bool fann_set_cascade_activation_functions ( resource $ann, array $cascade_activation_functions ) Sets the array of cascade candidate activation functions. See fann_get_cascade_num_candidates() for a description of which candidate neurons will be generated by this array. Parameters: ann Neur

(PECL fann >= 1.0.0) Sets the callback function for use during training bool fann_set_callback ( resource $ann, collable $callback ) Sets the callback function for use during training. It means that it is called from fann_train_on_data() or fann_train_on_file(). Parameters: ann Neural network resource. callback The supplied callback f

(PECL fann >= 1.0.0) Set the bit fail limit used during training bool fann_set_bit_fail_limit ( resource $ann, float $bit_fail_limit ) Set the bit fail limit used during training. Parameters: ann Neural network resource. bit_fail_limit The bit fail limit. Returns: Returns TRUE on success, or FALSE otherwise.

(PECL fann >= 1.0.0) Sets the activation steepness for supplied neuron and layer number bool fann_set_activation_steepness ( resource $ann, float $activation_steepness, int $layer, int $neuron ) Set the activation steepness for neuron number neuron in layer number layer, counting the input layer as layer 0. It is not possible to set activation steepness for the neurons in the input layer. The steepness of an activatio

(PECL fann >= 1.0.0) Sets the steepness of the activation steepness in the output layer bool fann_set_activation_steepness_output ( resource $ann, float $activation_steepness ) Sets the steepness of the activation steepness in the output layer. Parameters: ann Neural network resource. activation_steepness The activation steepness.

(PECL fann >= 1.0.0) Sets the activation steepness for all of the neurons in the supplied layer number bool fann_set_activation_steepness_layer ( resource $ann, float $activation_steepness, int $layer ) Set the activation steepness for all of the neurons in layer number layer, counting the input layer as layer 0. It is not possible to set activation steepness for the neurons in the input layer. Paramete

(PECL fann >= 1.0.0) Sets the steepness of the activation steepness for all neurons in the all hidden layers bool fann_set_activation_steepness_hidden ( resource $ann, float $activation_steepness ) Sets the steepness of the activation steepness for all neurons in the all hidden layers. Parameters: ann Neural network resource. activation_steepness