(PECL fann >= 1.0.0) Set connections in the network bool fann_set_weight_array ( resource $ann, array $connections ) Set connections in the network. Only the weights can be changed, connections and weights are ignored if they do not already exist in the network. Parameters: ann Neural network resource. connections An array of FANNCon

(PECL fann >= 1.0.0) Sets the training algorithm bool fann_set_training_algorithm ( resource $ann, int $training_algorithm ) Sets the training algorithm. More info available in fann_get_training_algorithm(). Parameters: ann Neural network resource. training_algorithm Training algorithm constant Returns: Retur

(PECL fann >= 1.0.0) Sets the stop function used during training bool fann_set_train_stop_function ( resource $ann, int $stop_function ) Sets the stop function used during training. The stop functions are described further in stop functions constants. Parameters: ann Neural network resource. stop_function The stop function constant.

(PECL fann >= 1.0.0) Sets the error function used during training bool fann_set_train_error_function ( resource $ann, int $error_function ) Sets the error function used during training. The error functions are described further in error functions constants. Parameters: ann Neural network resource. error_function The error function co

(PECL fann >= 1.0.0) Calculate input and output scaling parameters for future use based on training data bool fann_set_scaling_params ( resource $ann, resource $train_data, float $new_input_min, float $new_input_max, float $new_output_min, float $new_output_max ) Calculate input and output scaling parameters for future use based on training data. Parameters: ann Neural

(PECL fann >= 1.0.0) Sets the sarprop weight decay shift bool fann_set_sarprop_weight_decay_shift ( resource $ann, float $sarprop_weight_decay_shift ) Sets the sarprop weight decay shift. Parameters: ann Neural network resource. sarprop_weight_decay_shift The sarprop weight decay shift. Returns: Returns TRUE on

(PECL fann >= 1.0.0) Sets the sarprop temperature bool fann_set_sarprop_temperature ( resource $ann, float $sarprop_temperature ) Sets the sarprop temperature. Parameters: ann Neural network resource. sarprop_temperature The sarprop temperature. Returns: Returns TRUE on success, or FALSE otherwise.

(PECL fann >= 1.0.0) Sets the sarprop step error threshold factor bool fann_set_sarprop_step_error_threshold_factor ( resource $ann, float $sarprop_step_error_threshold_factor ) Sets the sarprop step error threshold factor. Parameters: ann Neural network resource. sarprop_step_error_threshold_factor The sarprop step error threshold fac

(PECL fann >= 1.0.0) Sets the sarprop step error shift bool fann_set_sarprop_step_error_shift ( resource $ann, float $sarprop_step_error_shift ) Sets the sarprop step error shift. Parameters: ann Neural network resource. sarprop_step_error_shift The sarprop step error shift. Returns: Returns TRUE on success, or

(PECL fann >= 1.0.0) Sets the increase factor used during RPROP training bool fann_set_rprop_increase_factor ( resource $ann, float $rprop_increase_factor ) Sets the increase factor used during RPROP training. Parameters: ann Neural network resource. rprop_increase_factor The increase factor. Returns: Returns T