| 引用本文： |
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辜琳丽,张伟,陶海龙.物流配送中心选址的IPSO-BP算法[J].广西科学院学报,2012,28(1):4-6. [点击复制]
- GU Lin-li,ZHANG Wei,TAO Hai-long.Location Selection of Distribution Center Based on the IPSO-BP Algorithm[J].Journal of Guangxi Academy of Sciences,2012,28(1):4-6. [点击复制]
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| 摘要: |
| 改进标准粒子群优化算法(PSO)的惯性权重参数,提出基于IPSO的BP神经网络算法,以提高物流配送中心选址的预测精度。仿真结果表明,IPSO-BP神经网络算法的预测精度优于常规BP神经网络算法,不仅改进了网络的收敛速度并且提高了预测准确性。 |
| 关键词: 物流配送中心 选址 粒子群算法 BP神经网络 IPSO-BP神经网络 |
| DOI： |
| 投稿时间：2011-09-20修订日期：2011-12-20 |
| 基金项目: |
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| Location Selection of Distribution Center Based on the IPSO-BP Algorithm |
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GU Lin-li, ZHANG Wei, TAO Hai-long
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| (Mechatronical T & R Institute, Lanzhou Jiaotong University, Lanzhou, Gansu, 730070, China) |
| Abstract: |
| The BP neural network based on the improved particles warm optimization (IPSO) was proposed in this paper to improve the prediction accuracy of the distribution center location selection. The simulation results shown that prediction accuracy of the IPSO-BP neural network algorithm was better than that of conventional BP neural network algorithm. IPSO-BP neural network algorithm improved not only the convergence speed of the network but also the prediction accuracy. |
| Key words: distribution center location selection PSO algorithm BP neural network IPSO-BP neural network |
