(PECL fann >= 1.0.0) Trains on an entire dataset for a period of time
(PECL fann >= 1.0.0) Train one iteration with a set of inputs, and a set of desired outputs
(PECL fann >= 1.0.0) Get the total number of connections in the entire network
(PECL fann >= 1.0.0) Calculate input and output scaling parameters for future use based on training data
(PECL fann >= 1.0.0) Returns the maximum out epochs
(PECL fann >= 1.0.0) The number of activation steepnesses
(PECL fann >= 1.0.0) Sets the max candidate epochs
(PECL fann >= 1.0.0) Give each connection a random weight between min_weight and max_weight
(PECL fann >= 1.0.0) Sets the sarprop step error threshold factor
(PECL fann >= 1.0.0) Descale input and output data based on previously calculated parameters
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