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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/18140
DC 欄位值語言
dc.contributor.authorJih-Gau Juangen_US
dc.contributor.authorBo-Shian Linen_US
dc.contributor.authorChien-Kuo Lien_US
dc.date.accessioned2021-10-29T03:42:20Z-
dc.date.available2021-10-29T03:42:20Z-
dc.date.issued2004-
dc.identifier.isbn0-7803-8566-7-
dc.identifier.issn1062-922X-
dc.identifier.otherINSPEC Accession Number: 8393527-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/18140-
dc.description.abstractParameter estimation of nonlinear system using hybrid intelligent method is presented. A recursive least squares estimation combined with genetic algorithm is used in this study. A recurrent neural network for system identification and a conventional parameter estimation using recursive least-squares method are also given for comparison. After test, the proposed scheme has better performance on parameter estimation than the conventional least-squares estimation and the recurrent neural network.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectparameter estimationen_US
dc.subjectNonlinear systemsen_US
dc.subjectrecurrent neural networksen_US
dc.subjectNeural networksen_US
dc.subjectNeuronsen_US
dc.subjectRecursive estimationen_US
dc.subjectsystem identificationen_US
dc.subjectResonance light scatteringen_US
dc.subjectneurofeedbacken_US
dc.subjectGeneticsen_US
dc.titleParameter Estimation of Nonlinear System Based on Hybrid Intelligent Methoden_US
dc.typeconference paperen_US
dc.relation.conference2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)en_US
dc.relation.conferenceThe Hague, Netherlandsen_US
dc.identifier.doi10.1109/ICSMC.2004.1400862-
dc.relation.journalvolume4en_US
dc.relation.pages3365-3370en_US
item.openairetypeconference paper-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Communications, Navigation and Control Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
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