关键词: 物流中心, 选址, 神经网络集成, Bootstrap可重复采样技术, 粒子群优化

Abstract: Though neural networks have been used in the modeling of logistics center site selection，there are still many problems puzzling engineers such as the complex design procedure of single neural network，the“over-fitting” problem and etc. To solve these problems，a new neural network ensemble model with two-level structure is proposed.In this model，the Bootstrap sample technique is used to generate different data sets for training individual neural networks and particle swarm optimization （PSO） algorithm is used to combine the individuals’ outputs.And the final results are got by combining the ensemble individuals.Simulation results show that the new model is easy to build and promotes the generalization ability.

Key words: logistics center, site selection, neural network ensemble, Bootstrap Sample technique, Particle Swarm Optimization（PSO）