(PECL fann >= 1.0.0) Clears scaling parameters

(PECL fann >= 1.0.0) Sets the number of candidate groups

(PECL fann >= 1.0.0) Sets the stop function used during training

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

(PECL fann >= 1.0.0) Scale data in input vector before feed it to ann based on previously calculated parameters

(PECL fann >= 1.0.0) Returns the number of cascade candidate stagnation epochs

(PECL fann >= 1.0.0) Creates a standard fully connected backpropagation neural network using an array of

(PECL fann >= 1.0.0) Scale data in input vector after get it from ann based on previously calculated parameters

(PECL fann >= 1.0.0) Sets the activation function for all of the hidden layers

(PECL fann >= 1.0.0) Scale data in output vector before feed it to ann based on previously calculated parameters