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

(PECL fann >= 1.0.0) Trains on an entire dataset, which is read from file, for a period of time

(PECL fann >= 1.0.0) Clears scaling parameters

(PECL fann >= 1.0.0) Sets the learning momentum

(PECL fann >= 1.0.0) Sets where the errors are logged to

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

(PECL fann >= 1.0.0) Creates a standard fully connected backpropagation neural network using an array of

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

(PECL fann >= 1.0.0) Sets the number of candidate groups

(PECL fann >= 1.0.0) Returns the sarprop temperature