(PECL fann >= 1.0.0) Save the training structure to a file

(PECL fann >= 1.0.0) Destructs the training data

(PECL fann >= 1.0.0) Trains on an entire dataset for a period of time

(PECL fann >= 1.0.0) Test with a set of inputs, and a set of desired outputs

(PECL fann >= 1.0.0) Sets the sarprop step error threshold factor

(PECL fann >= 1.0.0) Returns the cascade candidate change fraction

(PECL fann >= 1.0.0) Get the total number of connections in the entire network

(PECL fann >= 1.0.0) Sets the increase factor used during RPROP training

(PECL fann >= 1.0.0) Reads a file that stores training data

(PECL fann >= 1.0.0) Get the number of neurons in each layer in the network