| 基于粒子群算法的模糊插值建模方法研究 |
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| 引用本文： | 李文,张金晶,姚建红.基于粒子群算法的模糊插值建模方法研究[J].价值工程,2011,30(24):158-159. |
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| 作者姓名： | 李文 张金晶 姚建红 |
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| 作者单位： | 东北石油大学土木建筑工程学院,大庆,163318 |
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| 摘 要： | 由于传统模糊建模方法中模型参数都是人们根据经验选取的,它对于不同系统的动态跟踪能力不同,泛化能力差。针对常规模糊推理的局限性,本文提出一种基于参数的模糊插值建模方法。设计了模糊糊理系统的模型和参数调整方案,利用粒子群算法优化模型中的参数,仿真结果表明该方法的有效性。
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| 关 键 词： | 自适应模糊建模 类高斯隶属函数 粒子群算法 |
Study of Adaptive Fuzzy System Modeling Based on Particle Swarm Algorithm |
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| Li Wen,Zhang Jinjing,Yao Jianhong.Study of Adaptive Fuzzy System Modeling Based on Particle Swarm Algorithm[J].Value Engineering,2011,30(24):158-159. |
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| Authors: | Li Wen Zhang Jinjing Yao Jianhong |
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| Institution: | Li Wen;Zhang Jinjing;Yao Jianhong (School of Civil Engineering and Architecture,Northeast Petroleum University,Daqing 163318,China) |
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| Abstract: | Considering the limitations of conventional fuzzy inference adopting a single membership function,here we propose a kind of Gauss-type membership function of adjustable parameters and create a kind of fuzzy inference model of nonlinear systems based on adjustable parameters,and use particle swarm algorithm to optimize system parameters,the simulation results show the effectiveness of the proposed method. |
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| Keywords: | fuzzy inference system membership function particle swarm algorithm |
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