(PECL fann >= 1.0.0) Returns the postions of starting neuron.

(PECL fann >= 1.0.0) Clears scaling parameters

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

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

(PECL fann >= 1.0.0) Trains on an entire dataset, for a period of time using the Cascade2 training algorithm

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

(PECL fann >= 1.0.0) Scales the inputs in the training data to the specified range

(PECL fann >= 1.0.0) Sets the activation function for all of the hidden layers

(PECL fann >= 1.0.0) Returns the number of cascade candidate stagnation epochs

(PECL fann >= 1.0.0) Sets the learning momentum