Method for Neural Network Ensemble Based on Analytical Hierarchy Process

This paper presents a method based on analytical hierarchy process (AHP) for neural network ensemble. In the method, five subsystems are constructed. Those neural networks compute parallel which have been trained solely. The decisions are made. Correct classification rates are obtained from the mat lab simulation. In experiments, the proposed methods have been successfully evaluated using thirteen different datasets, it is more effective than the relative majority voting scheme, it can be applicable to other method of pattern recognition.