(PECL fann >= 1.0.0) Saves the entire network to a configuration file

(PECL fann >= 1.0.0) Returns the bit fail limit used during training

(PECL fann >= 1.0.0) Sets the initial step-size

(PECL fann >= 1.0.0) Returns an copy of a subset of the train data

(PECL fann >= 1.0.0) Sets the quickprop mu factor

(PECL fann >= 1.0.0) Scale data in input vector before feed it to ann based on previously calculated parameters

(PECL fann >= 1.0.0) Resets the last error number

(PECL fann >= 1.0.0) Trains on an entire dataset, for a period of time using the Cascade2 training algorithm

(PECL fann >= 1.0.0) Scales the inputs in the training data to the specified range

(PECL fann >= 1.0.0) Returns the postions of terminating neuron