(PECL fann >= 1.0.0) Returns the decay which is a factor that weights should decrease in each iteration during

(PECL fann >= 1.0.0) Returns the learning momentum

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

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

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

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

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

(PECL fann >= 1.0.0) Destroys the entire network and properly freeing all the associated memory

(PECL fann >= 1.0.0) Set the bit fail limit used during training

(PECL fann >= 1.0.0) Calculate input scaling parameters for future use based on training data