Academic literature on the topic 'Sugeno-Takage-Kang model (TSK model)'
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Journal articles on the topic "Sugeno-Takage-Kang model (TSK model)"
Shapoval, Nataliia. "TSK Fuzzy Neural Network Use for COVID-19 Classification." Electronics and Control Systems 1, no. 71 (June 27, 2022): 50–54. http://dx.doi.org/10.18372/1990-5548.71.16825.
Full textGUO, Xifeng, Dazhi WANG, and Wei LIU. "A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling." Chinese Journal of Chemical Engineering 20, no. 6 (December 2012): 1161–66. http://dx.doi.org/10.1016/s1004-9541(12)60602-8.
Full textNGUYEN, ERIC M., and NADIPURAM R. PRASAD. "MODEL IDENTIFICATION OF A SERVO-TRACKING SYSTEM USING FUZZY CLUSTERING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 07, no. 04 (August 1999): 337–46. http://dx.doi.org/10.1142/s0218488599000295.
Full textHua, Xu, Xue Hengxin, and Chen Zhiguo. "Application of hydrologic forecast model." Water Science and Technology 66, no. 2 (July 1, 2012): 239–46. http://dx.doi.org/10.2166/wst.2012.161.
Full textYordanova, Snejana. "An Approach to Observability and Controllability Analysis of Nonlinear Plants on the Basis of TSK Models." Information Technologies and Control 13, no. 1-2 (June 1, 2015): 35–45. http://dx.doi.org/10.1515/itc-2016-0009.
Full textWang, Shun-Yuan, Chuan-Min Lin, and Chen-Hao Li. "Design of Adaptive TSK Fuzzy Self-Organizing Recurrent Cerebellar Model Articulation Controller for Chaotic Systems Control." Applied Sciences 11, no. 4 (February 9, 2021): 1567. http://dx.doi.org/10.3390/app11041567.
Full textYen, John, and Wayne Gillespie. "Fuzzy Modeling with Local and Global Objectives." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 5 (October 20, 1999): 373–85. http://dx.doi.org/10.20965/jaciii.1999.p0373.
Full textLin, Cheng-Jian, Chi-Yung Lee, and Cheng-Hung Chen. "A Novel Neuro-Fuzzy Inference System with Multi-Level Membership Function for Classification Applications." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 4 (April 20, 2007): 365–72. http://dx.doi.org/10.20965/jaciii.2007.p0365.
Full textDu, Aiyan, Xiaofen Shi, Xiaoyi Guo, Qixiao Pei, Yijie Ding, Wei Zhou, Qun Lu, and Hua Shi. "Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System." Computational and Mathematical Methods in Medicine 2021 (July 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/9036322.
Full textGu, Xiaoqing, Kaijian Xia, Yizhang Jiang, and Alireza Jolfaei. "Multi-task Fuzzy Clustering–Based Multi-task TSK Fuzzy System for Text Sentiment Classification." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (March 31, 2022): 1–24. http://dx.doi.org/10.1145/3476103.
Full textDissertations / Theses on the topic "Sugeno-Takage-Kang model (TSK model)"
(20390), Baolin Wu. "Fuzzy modelling and identification with genetic algorithms based learning." Thesis, 1996. https://figshare.com/articles/thesis/Fuzzy_modelling_and_identification_with_genetic_algorithms_based_learning/21345057.
Full textModelling is an essential step towards a solution to complex system problems. Traditional mathematical methods are inadequate in describing the complex systems when the complexity increases. Fuzzy logic has provided an alternative way in dealing with complexity in real world.
This thesis looks at a practical approach for complex system modelling using fuzzy logic. This approach is usually called fuzzy modelling. The main aim of this thesis is to explore the capabilities of fuzzy logic in complex system modelling using available data. The fuzzy model concerned is the Sugeno-Takage-Kang model (TSK model). A genetic algorithm based learning algorithm (GABL) is proposed for fuzzy modelling. It basically contains four blocks, namely the partition, GA, tuning and termination blocks. The functioning of each block is described and the proposed algorithm is tested using a number of examples from different applications such as function approximation and processing control.
Conference papers on the topic "Sugeno-Takage-Kang model (TSK model)"
Hong, Sung-Kyung, and Reza Langari. "Robust Fuzzy Control of a Magnetic Bearing System Subject to Harmonic Disturbances." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0560.
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