(PECL fann >= 1.0.0) Get the number of neurons in each layer in the network
(PECL fann >= 1.0.0) Sets the steepness of the activation steepness in the output layer
(PECL fann >= 1.0.0) The connection constructor
(PECL fann >= 1.0.0) Sets the steepness of the activation steepness for all neurons in the all hidden layers
(PECL fann >= 1.0.0) Returns the cascade activation steepnesses
(PECL fann >= 1.0.0) Resets the last error string
(PECL fann >= 1.0.0) Scales the outputs in the training data to the specified range
(PECL fann >= 1.0.0) Initialize the weights using Widrow + Nguyen’s algorithm
(PECL fann >= 1.0.0) Reads a file that stores training data
(PECL fann >= 1.0.0) Sets the activation function for supplied neuron and layer
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