(PECL fann >= 1.0.0) Creates a standard fully connected backpropagation neural network using an array of

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

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

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

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

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

(PECL fann >= 1.0.0) Returns the sarprop temperature

(PECL fann >= 1.0.0) Sets the learning momentum

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

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