Application of the Back Propagation Neural Network Algorithm with Monotonicity Constraints for Two‐Group Classification Problems*

ABSTRACT Neural network techniques are widely used in solving pattern recognition or classification problems. However, when statistical data are used in supervised training of a neural network employing the back‐propagation least mean square algorithm, the behavior of the classification boundary during training is often unpredictable. This research suggests the application of monotonicity constraints to the back propagation learning algorithm. …