(PECL fann >= 1.0.0) Returns the learning rate
(PECL fann >= 1.0.0) Returns the learning momentum
(PECL fann >= 1.0.0) Sets the array of cascade candidate activation functions
(PECL fann >= 1.0.0) Scale input and output data based on previously calculated parameters
(PECL fann >= 1.0.0) Train one epoch with a set of training data
(PECL fann >= 1.0.0) Returns the last error number
(PECL fann >= 1.0.0) Returns the number of training patterns in the train data
(PECL fann >= 1.0.0) Get the number of bias in each layer in the network
(PECL fann >= 1.0.0) Returns the increase factor used during RPROP training
(PECL fann >= 1.0.0) Sets the minimum out epochs
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