نتایج جستجو برای: adaptive fuzzy system

تعداد نتایج: 2425232  

Journal: :basic and clinical neuroscience 0
somayyeh lotfi noghabi ali vahidian kamyad mohsen foroughipour amir hooshang mohammadpour

introduction: epilepsy is a clinical syndrome in which seizures have a tendency to recur. sodium valproate is the most effective drug in the treatment of all types of generalized seizures. finding the optimal dosage (the lowest effective dose) of sodium valproate is a real challenge to all neurologists. in this study, a new approach based on adaptive neuro-fuzzy inference system (anfis) was pre...

2010
C. Senthil Kumar N. Senthil Kumar

This paper presents the design and implementation of an adaptive fuzzy logic controller for the speed control of brushless dc motors. The proposed system uses an adaptation of the slope of the membership functions of the variables used in the conventional fuzzy controller based on the magnitude of the error. A simulation analysis of the fuzzy controller and the adaptive fuzzy controller are don...

Journal: :Int. J. Intell. Syst. 2002
Igor Skrjanc Saso Blazic Drago Matko

Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a general methodology of adaptive control based on multiple models in fuzzy form to deal with plan...

Journal: :IEEE Trans. Fuzzy Systems 1999
Dong-Ling Tsay Hung-Yuan Chung Ching-Jung Lee

An adaptive fuzzy controller is synthesized from a collection of fuzzy IF–THEN rules. The parameters of the membership functions characterizing the linguistic terms in the fuzzy IF–THEN rules are changed according to some adaptive laws for the purpose of controlling a plant to track a reference trajectory. In this paper, a direct adaptive fuzzy control design method is developed for the general...

Journal: :IEEE transactions on neural networks 1998
Yanqing Zhang Abraham Kandel

In this paper, a new adaptive fuzzy reasoning method using compensatory fuzzy operators is proposed to make a fuzzy logic system more adaptive and more effective. Such a compensatory fuzzy logic system is proved to be a universal approximator. The compensatory neural fuzzy networks built by both control-oriented fuzzy neurons and decision-oriented fuzzy neurons cannot only adaptively adjust fuz...

Ali Vahidian Kamyad, Amir Hooshang Mohammadpour, Mohsen Foroughipour, Somayyeh Lotfi Noghabi,

Introduction: Epilepsy is a clinical syndrome in which seizures have a tendency to recur. Sodium valproate is the most effective drug in the treatment of all types of generalized seizures. Finding the optimal dosage (the lowest effective dose) of sodium valproate is a real challenge to all neurologists. In this study, a new approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) was pre...

Journal: :journal of food biosciences and technology 2016
y. vasseghian gh zahedi m ahmadi

this study investigates the oil extraction from pistacia khinjuk by the application of enzyme.artificial neural network (ann) and adaptive neuro fuzzy inference system (anfis) were applied formodeling and prediction of oil extraction yield. 16 data points were collected and the ann was trained with onehidden layer using various numbers of neurons. a two-layered ann provides the best results, us...

This paper presents a stable new algorithm for force/position control in robot manipulators. In this algorithm, position vectors are measured by sensors and then used in the control law. Since using force sensor has some issues such as high costs and technical problems, an approach is presented to overcome these issues. In this respect, force sensor is replaced by an adaptive fuzzy estimator to...

2001
Igor Skrjanc Drago Matko

| Fuzzy adaptive systems may be viewed as a framework for solving the problems of nonlinear system control. In the paper a novel model reference fuzzy adaptive control system is introduced which is based on the fuzzy model of the process. The combination of adaptive control theory based on models obtained by fuzzy basis function expansion results in fuzzy direct model-reference adaptive control...

Journal: :iranian journal of fuzzy systems 2014
p. moallem n. razmjooy b. s. mousavi

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

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