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12,136
Neuro-fuzzy modeling and control
- IEEE PROCEEDINGS
, 1995
"... Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framework of ad ..."
Abstract
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Cited by 239 (1 self)
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Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framework
Optimization of fuzzy model parameters
"... This paper deals with the ways of automatic optimization of fuzzy models. If we use one of optimization methods to modification the fuzzy models parameters, we can obtain better description of system than a usual handmade fuzzy model is. This improvement allows to create more precise and more effect ..."
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This paper deals with the ways of automatic optimization of fuzzy models. If we use one of optimization methods to modification the fuzzy models parameters, we can obtain better description of system than a usual handmade fuzzy model is. This improvement allows to create more precise and more
Fuzzy Modeling with Linguistic Integrity
, 1998
"... The current paper presents an algorithm to build a fuzzy relational model from input-output data. The paper discuss the trade-off between linguistic integrity and accuracy and propose an algorithm for rule extraction (AFRELI). The algorithm uses a routine named FuZion to merge consecutive membership ..."
Abstract
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Cited by 44 (4 self)
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The current paper presents an algorithm to build a fuzzy relational model from input-output data. The paper discuss the trade-off between linguistic integrity and accuracy and propose an algorithm for rule extraction (AFRELI). The algorithm uses a routine named FuZion to merge consecutive
On Additive and Multiplicative Fuzzy Models
"... Systems which use a fuzzy rule base and an inference mechanisms are quite frequently used in many applications. Fuzzy rules and inference mechanisms can be described by a system of fuzzy relation equations. A solution to a given system of fuzzy relation equations can serve us a proper model of fuzzy ..."
Abstract
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Cited by 3 (0 self)
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Systems which use a fuzzy rule base and an inference mechanisms are quite frequently used in many applications. Fuzzy rules and inference mechanisms can be described by a system of fuzzy relation equations. A solution to a given system of fuzzy relation equations can serve us a proper model
Pareto-optimality in Fuzzy Modeling
- In Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing
, 1998
"... : Recent techniques in fuzzy identification and multiobjective optimization with Evolutionary Algorithms are combined in this paper. We propose a single step Evolutionary Algorithm to find multiple Paretooptimal solutions to the problems of generation and/or tuning of fuzzy models which make it poss ..."
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Cited by 7 (0 self)
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: Recent techniques in fuzzy identification and multiobjective optimization with Evolutionary Algorithms are combined in this paper. We propose a single step Evolutionary Algorithm to find multiple Paretooptimal solutions to the problems of generation and/or tuning of fuzzy models which make
FUZZY MODELLING FOR REBOILER SYSTEM
"... Fuzzy system’s ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy System is one of the most popular method used for fuzzy modelling of multi input multi output (MI ..."
Abstract
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Cited by 1 (0 self)
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Fuzzy system’s ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy System is one of the most popular method used for fuzzy modelling of multi input multi output
Pareto-optimality in Fuzzy Modeling
- In Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing
, 1998
"... : Recent techniques in fuzzy identification and multiobjective optimization with Evolutionary Algorithms are combined in this paper. We propose a single step Evolutionary Algorithm to find multiple Paretooptimal solutions to the problems of generation and/or tuning of fuzzy models which make it poss ..."
Abstract
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: Recent techniques in fuzzy identification and multiobjective optimization with Evolutionary Algorithms are combined in this paper. We propose a single step Evolutionary Algorithm to find multiple Paretooptimal solutions to the problems of generation and/or tuning of fuzzy models which make
Fuzzy Modelling with Linguistic Equations
"... In this report, different types of fuzzy models have been developed from linguistic equations models. Different shapes of membership functions were compared: triangular and trapezoidal membership functions as well as their non-linear modifications were used. ANFIS (adaptive neuro-fuzzy inference sys ..."
Abstract
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Cited by 1 (0 self)
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In this report, different types of fuzzy models have been developed from linguistic equations models. Different shapes of membership functions were compared: triangular and trapezoidal membership functions as well as their non-linear modifications were used. ANFIS (adaptive neuro-fuzzy inference
Results 1 - 10
of
12,136
