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

(PECL fann >= 1.0.0) Will run input through the neural network

(PECL fann >= 1.0.0) Creates a copy of a fann structure

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

(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) Sets the steepness of the activation steepness in the output layer

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

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

(PECL fann >= 1.0.0) Initialize the weights using Widrow + Nguyen’s algorithm

(PECL fann >= 1.0.0) Sets the activation function for supplied neuron and layer