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

(PECL fann >= 1.0.0) Train one epoch with a set of training data

(PECL fann >= 1.0.0) Returns the last error number

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

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

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

(PECL fann >= 1.0.0) Sets the minimum out epochs

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

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

(PECL fann >= 1.0.0) Creates a standard backpropagation neural network which is not fully connectected and