(PECL fann >= 1.0.0) Returns the error function used during training
(PECL fann >= 1.0.0) Returns the number of outputs in each of the training patterns in the train data
(PECL fann >= 1.0.0) Get the number of input neurons
(PECL fann >= 1.0.0) Sets the sarprop temperature
(PECL fann >= 1.0.0) Get the type of neural network it was created as
(PECL fann >= 1.0.0) Sets the maximum step-size
(PECL fann >= 1.0.0) Constructs a backpropagation neural network from a configuration file
(PECL fann >= 1.0.0) Get the total number of neurons in the entire network
(PECL fann >= 1.0.0) Return the candidate limit
(PECL fann >= 1.0.0) Returns the training algorithm
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