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

(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) Returns the last error number

(PECL fann >= 1.0.0) Merges the train data

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

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

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

(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) Set the bit fail limit used during training