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dc.contributor.authorLin, CTen_US
dc.contributor.authorJuang, CFen_US
dc.contributor.authorLi, CPen_US
dc.date.accessioned2014-12-08T15:27:40Z-
dc.date.available2014-12-08T15:27:40Z-
dc.date.issued1996en_US
dc.identifier.isbn0-7803-3687-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/19930-
dc.description.abstractIn this paper, we propose a neural fuzzy inference network (NFIN) suitable for adaptive temperature control of a water bath system. The rules in the NFIN are created and adapted as on-line learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system. The performance of the NFIN is compared to that of the PID controller and fuzzy logic controller (FLC) on the water bath temperature control system. The three control schemes are compared through experimental studies. It's found that the proposed NFIN control scheme has best control performance among the three control schemes.en_US
dc.language.isoen_USen_US
dc.titleTemperature control with a neural fuzzy inference networken_US
dc.typeProceedings Paperen_US
dc.identifier.journalSOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSINGen_US
dc.citation.spage91en_US
dc.citation.epage96en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:A1996BH38J00016-
顯示於類別:會議論文