(PECL fann >= 1.0.0) Test a set of training data and calculates the MSE for the training data

(PECL fann >= 1.0.0) Test with a set of inputs, and a set of desired outputs

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

(PECL fann >= 1.0.0) Train one iteration with a set of inputs, and a set of desired outputs

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

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

(PECL fann >= 1.0.0) Trains on an entire dataset for a period of time

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

(PECL fann >= 1.0.0) Get the number of neurons in each layer in the network

(PECL fann >= 1.0.0) Returns the cascade activation steepnesses