Selective Neural Network Ensemble with Bias
带偏置的选择性神经网络集成构造方法

Neural network ensemble is a learning paradigm, which integrates many neural networks into an ensemble to solve a problem jointly. In this paper, the relationship between the ensemble and its component neural networks is analyzed and a novel approach for the construction of the selective neural network ensemble with bias is proposed. The genetic algorithm is used to select part of the trained individual networks to be integrated and the bias is deter- mined to correct the combination of the ensemble simultaneously. Theoreticalanalysis and experimental results show that this approach allows one to design effective neural network ensemble.