(PECL fann >= 1.0.0) Reads the mean square error from the network

(PECL fann >= 1.0.0) Sets the activation function for all of the hidden layers

(PECL fann >= 1.0.0) Sets the stop function used during training

(PECL fann >= 1.0.0) Trains on an entire dataset, which is read from file, for a period of time

(PECL fann >= 1.0.0) Sets the activation function for all the neurons in the supplied layer.

(PECL fann >= 1.0.0) Sets the number of candidate groups

(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) Returns the number of cascade candidate stagnation epochs

(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) Get the total number of neurons in the entire network