Constrained Programming Based Selective Neural Network Ensemble Method
基于约束规划的选择性神经网络集成方法

A selective constructing approach to neural network ensemble based on constrained programming is presented. Constrained programming is used to select the trained individual networks to construct a new ensemble. Theoretical analyses and experimental results show that the design of this method is simple and it improves the generalization ability of neural network ensemble at low cost.