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

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

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

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

(PECL fann >= 1.0.0) Merges the train data

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

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

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

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

(PECL fann >= 1.0.0) Returns the initial step-size