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

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

(PECL fann >= 1.0.0) Shuffles training data, randomizing the order

(PECL fann >= 1.0.0) Returns the number of training patterns in the train data

(PECL fann >= 1.0.0) Scale input and output data based on previously calculated parameters

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

(PECL fann >= 1.0.0) Returns the learning momentum

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

(PECL fann >= 1.0.0) Returns the learning rate

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