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

(PECL fann >= 1.0.0) Sets the activation function for all the neurons in the supplied layer.

(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) Get the connection rate used when the network was created

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

(PECL fann >= 1.0.0) Sets the quickprop mu factor

(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) Get connections in the network

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

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