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dc.contributor.author倪春木
dc.contributor.author张阿卜
dc.contributor.author赵晓锋
dc.contributor.author蔡志峰
dc.date.accessioned2017-11-14T01:29:03Z
dc.date.available2017-11-14T01:29:03Z
dc.date.issued2001-12-30
dc.identifier.citation厦门大学学报(自然科学版),2001,(S1):101-105
dc.identifier.issn0438-0479
dc.identifier.otherXDZK2001S1022
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/142267
dc.description.abstract利用自适应神经-模糊椎理系统AN FIS良好的系统辨识能力,对具有较大非线性特性的小 车摆系统进行辨识,得到相应的系统模型.仿真实验更验证了ANFIS的系统辨识能力.
dc.description.abstractThis paper uses the excellent identifiable property of ANFTS (adaptive-network-based fuzzy inference system) model the system of car-pole who has bad non-linear. The result validate the identifiable property of ANFIS.
dc.language.isozh_CN
dc.subject自适应神经-模糊推理系统
dc.subject小车摆系统
dc.subject系统辩识
dc.subjectANFIS
dc.subjectcar-pole
dc.subjectsystem identification
dc.title模糊神经网络在小车摆系统辨识中的应用
dc.title.alternativeThe Application of Fuzzy-Neural Network in Identifying Car-Pole System
dc.typeArticle


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