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

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

(PECL fann >= 1.0.0) Returns the learning rate

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

(PECL fann >= 1.0.0) Merges the train data

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

(PECL fann >= 1.0.0) Sets the activation steepness for all of the neurons in the supplied layer number

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

(PECL fann >= 1.0.0) Returns the maximum out epochs

(PECL fann >= 1.0.0) Creates an empty training data struct