(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

(PECL fann >= 1.0.0) Sets the candidate limit

(PECL fann >= 1.0.0) Creates a standard backpropagation neural network, which is not fully connected

(PECL fann >= 1.0.0) The number of fail bits

(PECL fann >= 1.0.0) Sets the cascade output change fraction