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

(PECL fann >= 1.0.0) Returns the weight multiplier

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

(PECL fann >= 1.0.0) Destructs the training data

(PECL fann >= 1.0.0) Returns the minimum candidate epochs

(PECL fann >= 1.0.0) Calculate output scaling parameters for future use based on training data

(PECL fann >= 1.0.0) Get the number of output neurons

(PECL fann >= 1.0.0) Sets the increase factor used during RPROP training

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

(PECL fann >= 1.0.0) Returns the number of inputs in each of the training patterns in the train data