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基于ANN的模糊控制规则的自动生成
引用本文:康赐荣,陈芳.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.
作者姓名:康赐荣  陈芳
作者单位:华侨大学电子工程系!泉州,362011,华侨大学电子工程系!泉州,362011,华侨大学电子工程系!泉州,362011
摘    要:模糊控制规划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。

关 键 词:神经网络  模糊控制规则  BP算法

Automated Rule of Fuzzy Control Based on Artificial Neural Network
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.
Authors:Kang Cirong  Chen Fang  Wei Tengxiong
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 pendulum fuzzy control shows a control of quick stability and higheraccuracy, which is the evidence for the validity of the authorsdriethod.
Keywords:neural network  rules of fuzzy control  BP algorithm
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