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Yubazaki, Naoyoshi, , , Yi, Jianqiang, Hirota, Kaoru, , (1997) SIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). 23-30 doi:10.20965/jaciii.1997.p0023

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Reference TypeJournal (article/letter/editorial)
TitleSIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
AuthorsYubazaki, NaoyoshiAuthor
, Author
Yi, JianqiangAuthor
Hirota, KaoruAuthor
, Author
Year1997 (October 20)Volume1
Issue1
PublisherFuji Technology Press Ltd.
DOIdoi:10.20965/jaciii.1997.p0023Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9533539Long-form Identifiermindat:1:5:9533539:5
GUID0
Full ReferenceYubazaki, Naoyoshi, , , Yi, Jianqiang, Hirota, Kaoru, , (1997) SIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). 23-30 doi:10.20965/jaciii.1997.p0023
Plain TextYubazaki, Naoyoshi, , , Yi, Jianqiang, Hirota, Kaoru, , (1997) SIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). 23-30 doi:10.20965/jaciii.1997.p0023
In(1997, October) Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 1 (1) Fuji Technology Press Ltd.

See Also

These are possibly similar items as determined by title/reference text matching only.

Yi, Jianqiang, , , Yubazaki, Naoyoshi, Hirota, Kaoru, , , , (2001) A New Fuzzy Controller for Stabilizing Inverted Pendulums Based on Single Input Rule Modules Dynamically Connected Fuzzy Inference Model. Journal of Advanced Computational Intelligence and Intelligent Informatics, 5 (1). 58-70 doi:10.20965/jaciii.2001.p0058
Yi, Jianqiang, , , Yubazaki, Naoyoshi, Hirota, Kaoru, , (2000) Trajectory Tracking Control of Unconstrained Object Using the SIRMs Dynamically Connected Fuzzy Inference Model. Journal of Advanced Computational Intelligence and Intelligent Informatics, 4 (4). 302-312 doi:10.20965/jaciii.2000.p0302
Koike, , , , Hirota, Kaoru, , (1999) SIRMs Connected Fuzzy Inference Model Applied to Process Control -- Automatic Tuning Using a Genetic Algorithm Carla Cavalcante. Journal of Advanced Computational Intelligence and Intelligent Informatics, 3 (4). 299-302 doi:10.20965/jaciii.1999.p0299
Uehara, Kiyohiko, , , Hirota, Kaoru, , (1997) Fuzzy Inference Based Connection Admission Control in ATM Networks. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). 14-22 doi:10.20965/jaciii.1997.p0014
Uehara, Kiyohiko, Hirota, Kaoru, , (2019) Noise Reduction with Fuzzy Inference Based on Generalized Mean and Singleton Input–Output Rules: Toward Fuzzy Rule Learning in a Unified Inference Platform. Journal of Advanced Computational Intelligence and Intelligent Informatics, 23 (6). 1027-1043 doi:10.20965/jaciii.2019.p1027
Hirota, Toshio Fukudand Kaoru, , , , (1997) Message from Editors-in-Chief. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). doi:10.20965/jaciii.1997.p0000
Hirota, Kaoru, , , Arai, Yoshinori, Nakagawa, Yukiko, , (1997) Pattern Recognition & Image Understanding based on Fuzzy Technology. Journal of Advanced Computational Intelligence and Intelligent Informatics, 1 (1). 71-78 doi:10.20965/jaciii.1997.p0071
Uehara, Kiyohiko, , , Hirota, Kaoru, , (2015) Inference with Fuzzy Rule Interpolation at an Infinite Number of Activating Points. Journal of Advanced Computational Intelligence and Intelligent Informatics, 19 (1). 74-90 doi:10.20965/jaciii.2015.p0074
Uehara, Kiyohiko, , , Hirota, Kaoru, , (2017) Fuzzy Inference: Its Past and Prospects. Journal of Advanced Computational Intelligence and Intelligent Informatics, 21 (1). 13-19 doi:10.20965/jaciii.2017.p0013
Nagata, Takeshi, Seki, Hirosato, Ishii, Hiroaki, , , , , , (2018) Optimization of Constrained SIRMs Connected Type Fuzzy Inference Model Using Two-Phase Simplex Method. Journal of Advanced Computational Intelligence and Intelligent Informatics, 22 (2). 172-175 doi:10.20965/jaciii.2018.p0172
Uehara, Kiyohiko, Hirota, Kaoru, , , , (2018) Noise Reduction with Inference Based on Fuzzy Rule Interpolation at an Infinite Number of Activating Points: Toward Fuzzy Rule Learning in a Unified Inference Platform. Journal of Advanced Computational Intelligence and Intelligent Informatics, 22 (6). 883-899 doi:10.20965/jaciii.2018.p0883
 
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