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標題: Titlebook: Analytical Methods in Fuzzy Modeling and Control; Jasek Kluska Book 2009 Springer-Verlag Berlin Heidelberg 2009 classification.control.con [打印本頁]

作者: 拖累    時間: 2025-3-21 16:26
書目名稱Analytical Methods in Fuzzy Modeling and Control影響因子(影響力)




書目名稱Analytical Methods in Fuzzy Modeling and Control影響因子(影響力)學科排名




書目名稱Analytical Methods in Fuzzy Modeling and Control網(wǎng)絡公開度




書目名稱Analytical Methods in Fuzzy Modeling and Control網(wǎng)絡公開度學科排名




書目名稱Analytical Methods in Fuzzy Modeling and Control被引頻次




書目名稱Analytical Methods in Fuzzy Modeling and Control被引頻次學科排名




書目名稱Analytical Methods in Fuzzy Modeling and Control年度引用




書目名稱Analytical Methods in Fuzzy Modeling and Control年度引用學科排名




書目名稱Analytical Methods in Fuzzy Modeling and Control讀者反饋




書目名稱Analytical Methods in Fuzzy Modeling and Control讀者反饋學科排名





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作者: innovation    時間: 2025-3-22 05:11

作者: 侵略    時間: 2025-3-22 11:48
Comprehensive Study and Applications of P1-TS Systems,ynomial membership functions. They are highly interpretable and therefore they seem to be particularly important from the engineering point of view. In order to show that there are quite a lot of applications of P1-TS systems, many examples of exact modeling of conventional systems will be given, es
作者: 躺下殘殺    時間: 2025-3-22 13:43
Modeling of Multilinear Dynamical Systems from Experimental Data,ich is an essential part of any control system design. Rapid development of intelligent control methodologies such as artificial neural networks, fuzzy logic theory, and rule-based expert systems, have provided alternative tools to tackle the problem of system identification [203]. A large number of
作者: corpus-callosum    時間: 2025-3-22 18:37
Binary Classification Using P1-TS Rule Scheme,or binary-valued. Such algorithms belong to important techniques in machine learning, computational intelligence and data mining [137], [201]. Classification systems (. for short) are used for solving the problems which arise in many fields including pattern recognition, vision analysis and other de
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作者: gorgeous    時間: 2025-3-23 04:35
1434-9922 general analytical theory of exact fuzzy modeling and contro.This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models.?The author?presents a rather general analytical theory of
作者: 破布    時間: 2025-3-23 05:36
Springer Series in Materials Sciences to fuzzy identification are based on linguistic fuzzy modeling, fuzzy relational equation modeling and Takagi-Sugeno modeling [13]. In this chapter we present a new effective method of modeling continuous multilinear dynamical systems using the Takagi-Sugeno fuzzy expert system.
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作者: 大門在匯總    時間: 2025-3-23 15:26
Book 2009lled Takagi-Sugeno-Kang models.?The author?presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems. Main attention is paid to usability of the results for the control and computer engineering community and therefore simple and
作者: Synapse    時間: 2025-3-23 21:35
https://doi.org/10.1007/978-3-642-03177-9bout richness of the class of functions performed by the rule-based system can fail us. The number of fuzzy sets is important, since it determines the number of consequents of the rules; thus, it constrains the class of functions performed by the zero-order TS rule-based systems. This fact will be shown further on.
作者: MARS    時間: 2025-3-24 01:41
https://doi.org/10.1007/978-3-642-03177-9nd analysis of the models. Thanks to such approach the comparison of the methods developed in this book with others will be facilitated. Symbolic quantities will be mainly used to ensure the generality of outcomes. Seldom, if ever, will numerical data be taken, to increase transparency of the examples.
作者: 容易懂得    時間: 2025-3-24 05:40
Fuzzy Rule-Based Systems with Polynomial Membership Functions,bout richness of the class of functions performed by the rule-based system can fail us. The number of fuzzy sets is important, since it determines the number of consequents of the rules; thus, it constrains the class of functions performed by the zero-order TS rule-based systems. This fact will be shown further on.
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作者: 木質    時間: 2025-3-24 15:12
https://doi.org/10.1057/9781137502537te machines, Petri nets, rules, etc. They are used particularly in the natural sciences and engineering disciplines such as physics, biology, electrical and computer engineering, in the social sciences such as economics or sociology. Engineers, computer scientists, physicists and economists use math
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作者: 指數(shù)    時間: 2025-3-25 02:35
https://doi.org/10.1007/978-3-642-03177-9a dimension to the input space we observe a twofold increase in the number of fuzzy “If-then” rules in the MISO P1-TS system and a rapid increase in the volume occupied by the matrices and vectors which represent this system. Namely, in the case of MISO P1-TS systems with . inputs, the dimension of
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M. Kikkert,G. Hassink,E. Wiertzor binary-valued. Such algorithms belong to important techniques in machine learning, computational intelligence and data mining [137], [201]. Classification systems (. for short) are used for solving the problems which arise in many fields including pattern recognition, vision analysis and other de
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作者: acheon    時間: 2025-3-26 09:37
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/156627.jpg
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作者: fleeting    時間: 2025-3-27 18:49
https://doi.org/10.1007/978-3-642-03177-9we want to develop a . to solve the problem of “How to obtain the function performed by the P1-TS system containing a large number of rules?” To the best of the author’s knowledge this problem has not been solved in the literature as yet. We will show that thanks to recursion, the problem of the cur
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