(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) Sets the initial step-size
(PECL fann >= 1.0.0) Returns the minimum step-size
(PECL fann >= 1.0.0) Returns the sarprop temperature
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