(PECL fann >= 1.0.0) Destroys the entire network and properly freeing all the associated memory

(PECL fann >= 1.0.0) Returns the last errstr

(PECL fann >= 1.0.0) Sets the activation steepness for all of the neurons in the supplied layer number

(PECL fann >= 1.0.0) Returns the decay which is a factor that weights should decrease in each iteration during

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

(PECL fann >= 1.0.0) The number of activation steepnesses

(PECL fann >= 1.0.0) Sets the maximum out epochs

(PECL fann >= 1.0.0) Give each connection a random weight between min_weight and max_weight

(PECL fann >= 1.0.0) Scales the inputs and outputs in the training data to the specified range

(PECL fann >= 1.0.0) Returns the cascade candidate change fraction