| 基于粒子群优化的神经网络预测模型 |
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| 引用本文： | 李丙春,孙蕾.基于粒子群优化的神经网络预测模型[J].新疆大学学报(理工版),2007,24(4):481-485. |
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| 作者姓名： | 李丙春 孙蕾 |
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| 作者单位： | 喀什师范学院网络中心 新疆喀什844000(李丙春)，西安电子科技大学经济管理学院 陕西西安710071(孙蕾) |
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| 摘 要： | 传统的BP神经网络训练算法,导致训练时间长且易于陷入局部极小点.本文将粒子群优化算法用于神经网络预测模型的学习训练.实验结果表明,基于粒子群优化的神经网络学习算法更易于实现,且能更快地收敛于全局最优解.
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| 关 键 词： | 粒子群优化算法 神经网络 全局最优 |
| 文章编号： | 1000-2839（2007）04-0481-05 |
| 修稿时间： | 2007-03-16 |
Neural Network Prediction Based on Particle Swarm Optimization |
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| LI Bing-chun,SUN Lei.Neural Network Prediction Based on Particle Swarm Optimization[J].Journal of Xinjiang University(Science & Engineering),2007,24(4):481-485. |
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| Authors: | LI Bing-chun SUN Lei |
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| Institution: | Network Centre ,Kashgar Teachers College, Kashgar , Xinjiang 844000 China |
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| Abstract: | The training of conventional back-propagation method with shortcoming of spending long time and easily plunging into the local minimum.A training algorithm for neural network based on particle swarm optimization(PSO) was investigated.The results show that the training algorithm based on PSO is easily implemented and come to global optimization quickly. |
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| Keywords: | Particle Swarm Optimization Neural Network Global Optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
