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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/18137
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dc.contributor.authorJih-Gau Juangen_US
dc.date.accessioned2021-10-29T03:32:52Z-
dc.date.available2021-10-29T03:32:52Z-
dc.date.issued2003-06-25-
dc.identifier.isbn0-7803-7729-X-
dc.identifier.otherINSPEC Accession Number: 7869488-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/18137-
dc.description.abstractNonlinear system identification using recurrent neural network with genetic algorithm is presented. A continuous-time model of Hopfield neural network is used in this study. Its convergence properties are first evaluated. Then the model is implemented to identify nonlinear systems. Recurrent network's operational factors of the system identification scheme are obtained by genetic algorithm. Mathematical formulations are introduced throughout the paper. After test, the proposed scheme can successfully identify nonlinear system within acceptable tolerance.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectGenetic algorithmsen_US
dc.subjectNonlinear systemsen_US
dc.subjectrecurrent neural networksen_US
dc.subjectMulti-layer neural networken_US
dc.subjectneural networksen_US
dc.subjectSystem identificationen_US
dc.subjectBiological neural networksen_US
dc.subjectArtificial neural networksen_US
dc.subjectNeurofeedbacken_US
dc.subjectNeuronsen_US
dc.titleApplication of genetic algorithm and recurrent network to nonlinear system identificationen_US
dc.typeconference paperen_US
dc.relation.conferenceProceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003.en_US
dc.relation.conferenceIstanbul, Turkeyen_US
dc.identifier.doi10.1109/CCA.2003.1223277-
dc.relation.journalvolume1en_US
dc.relation.pages129-134en_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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