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| 粒子群优化BP网络及其应用 | |
| 引用本文： | 任玉艳,王洪瑞,鲍洁.粒子群优化BP网络及其应用[J].河北大学学报(自然科学版),2011,31(4):445-448. |
| 作者姓名： | 任玉艳 王洪瑞 鲍洁 |
| 作者单位： | 1. 燕山大学里仁学院,河北秦皇岛,066004 2. 河北大学电子信息工程学院,河北保定,071002 3. 国家发展和改革委员会国家投资项目评审中心,北京,100037 |
| 基金项目： | 科技部国际科技合作项目，河北省科技厅指导性计划项目，秦皇岛市科学技术研究 与发展计划项目 |
| 摘 要： | 提出一种基于量子激励粒子群算法优化BP网络的参数方法.该算法在粒子群优化算法中引入量子论思想,克服了传统粒子群算法易陷入局部极值、优化效果较差的缺点,最终得到BP网络的最佳参数值.利用优化后的BP网络控制仿生机器马的运动状态,仿真结果表明该算法能快速、准确地达到最佳控制效果. |
| 关 键 词： | BP网络 粒子群算法(PSO) 量子论 优化算法 仿生机器马 |
Algorithm of BP Networks Based on Quantum Particle Swarm Optimization |
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| REN Yu-yan,WANG Hong-rui,BAO Jie.Algorithm of BP Networks Based on Quantum Particle Swarm Optimization[J].Journal of Hebei University (Natural Science Edition),2011,31(4):445-448. | |
| Authors: | REN Yu-yan WANG Hong-rui BAO Jie |
| Institution: | 1.Liren College,Yanshan University,Qinhuangdao 066004,China;2.College of Electronic and Information Engineering,Hebei University,Baoding 071002,China;3.Evaluating and Examining Center,State-Funded Construction Projects,NDRC,Beijing 100037,China) |
| Abstract: | A new method to adjust weights of BP network was proposed based on quantum particle swarm optimization.This algorithm combined concepts of particle swarm and quantum principles,which overcome the limitations both the local extreme values and optimization result bad by traditional particle swarm optimization algorithm,and got the best-optimized parameters of BP network.Use the optimized BP network to control the motion of bio-mimetic robotic horse.The simulation results show that this algorithm can achieve the best control effect quickly and accurately. |
| Keywords: | BP network particle swarm optimization quantum principles optimization bio-mimetic robotic horse |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |