Feature Extraction-based Selective Neural Network Ensemble Method
基于特征提取的选择性神经网络集成方法

In order to solve the problems of the existing research methods in input attribute,ensemble fashion and ensemble form,a novel selective & nonlinear neural network ensemble method,i.e. NSNNEIPCABag,is proposed in this paper. In this model,some different training subsets are first generated by Bagging algorithm. Then the feature extraction technique,improved principal component analysis (IPCA),is used to extract the data feature for training individual networks,and to select the appropriate number of ensemble...