[1]康赐荣,陈芳,魏腾雄.基于ANN的模糊控制规则的自动生成[J].华侨大学学报(自然科学版),1997,18(2):199-202.[doi:10.11830/ISSN.1000-5013.1997.02.0199]
 Kang Cirong,Chen Fang,Wei Tengxiong.Automated Rule of Fuzzy Control Based on Artificial Neural Network[J].Journal of Huaqiao University(Natural Science),1997,18(2):199-202.[doi:10.11830/ISSN.1000-5013.1997.02.0199]
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基于ANN的模糊控制规则的自动生成()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第18卷
期数:
1997年第2期
页码:
199-202
栏目:
出版日期:
1997-04-20

文章信息/Info

Title:
Automated Rule of Fuzzy Control Based on Artificial Neural Network
作者:
康赐荣陈芳魏腾雄
华侨大学电子工程系, 泉州 362011
Author(s):
Kang Cirong Chen Fang Wei Tengxiong
关键词:
神经网络 模糊控制规则 BP算法
Keywords:
neural network rules of fuzzy control BP algorithm
分类号:
TP18
DOI:
10.11830/ISSN.1000-5013.1997.02.0199
摘要:
模糊控制规则集是模糊控制系统的核心部分,对控制的快速性和精度有很大影响.采用改进的BP算法生成模糊控制规则集.倒立摆模糊控制仿真表明,倒立摆稳定快,精度高,从而证明文中所提方法的有效性.
Abstract:
Rule set of fuzzy control is the core of fuzzy control system. It exercises a great influence upon the speed and accuracy of control. In this paper, rule set of fuzzy control is generated by adopting improved BPalgorithm. The simulation of inverted pendul

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备注/Memo

备注/Memo:
福建省自然科学基金
更新日期/Last Update: 2014-03-22