(PECL fann >= 1.0.0) Merges the train data

(PECL fann >= 1.0.0) Returns the number of cascade activation functions

(PECL fann >= 1.0.0) Calculate input scaling parameters for future use based on training data

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

(PECL fann >= 1.0.0) Creates a standard backpropagation neural network, which is not fully connected using

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

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

(PECL fann >= 1.0.0) Returns the learning rate

(PECL fann >= 1.0.0) Returns the learning momentum

(PECL fann >= 1.0.0) Sets the array of cascade candidate activation functions