نتایج جستجو برای: fuzzy inference system developed

تعداد نتایج: 2893215  

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...

2009
Ajay Kumar Sanjay Marwaha Amarpal Singh Anupama Marwaha

This paper describes the fuzzy modeling of permanent magnet generator for studying its mechanical dynamic analysis. Firstly electromagnetic torque analysis of the generator is carried out using finite element based package. Then fuzzy model of the generator is developed. Performance was evaluated by comparing, integrated fuzzy model, individual fuzzy model and finite element model for the gener...

Journal: :مدیریت فناوری اطلاعات 0
محمد علی شفیعا دانشیار گروه فناوری صنعتی، دانشکده‎ی مهندسی صنایع، دانشگاه علم و صنعت، تهران، ایران امیر مانیان دانشیار گروه مدیریت فناوری اطلاعات، دانشکده‎ی مدیریت، دانشگاه تهران، ایران ایمان رئیسی وانانی دانشجوی دکترای مدیریت فناوری اطلاعات، دانشکده‎ی مدیریت، دانشگاه تهران، ایران

implementation of enterprise resource planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. this research, in terms of purpose, is considered fundamental since it designs a new system for solving a fundamental problem and it is also an applied research because the research result is deployed in the...

Journal: :Studies in health technology and informatics 2015
Norbert Gal Diana Andrei Dan Nemes Emanuela Nadasan Vasile Stoicu-Tivadar

This paper presents an intelligent Kinect and fuzzy inference system based e-rehabilitation system. The Kinect can detect the posture and motion of the patients while the fuzzy inference system can interpret the acquired data on the cognitive level. The system is capable to assess the initial posture and motion ranges of 20 joints. Using angles to describe the motion of the joints, exercise pat...

Journal: :international journal of management and business research 2012
mostafa mehrvarz nazanin pilevari

the present paper aimed at developing an approach based on fuzzy inference system (fis) for measuring of knowledge sharing in the organization. in recent years there has been increasing interest in the knowledge sharing by experts and managers in the world, according to increasing importance of knowledge as the key source of competitive advantage, organizations have made serious effort to find ...

Journal: :iranian journal of chemistry and chemical engineering 0
wei jiao teachers college ,qingdao university, qingdao, 266071,shandong,china shuguang xiang the hi-tech institute for petroleum and chemical industry, qingdao university of science and technology, qingdao, 266042,shandong,china

quantitative assessment is the most important means to identify hazard potential and manage risk for an industrial process. the implement of quantitative assessment in the early stage will help to develop inherently safer process, eliminating the hazard and reduce the possibility of accidental chain events and the magnitude of consequences. in this paper, after reviewing the presently available...

Journal: :Fuzzy Sets and Systems 2006
Vilém Novák Stephan Lehmke

This paper provides a logical basis for manipulation with fuzzy IF-THEN rules. Our theory is wide enough and it encompasses not only finding a conclusion by means of the compositional rule of inference due to Lotfi A. Zadeh but also other kinds of approximate reasoning methods, e.g. perception-based deduction, provided that there exists a possibility to characterize them within a formal logical...

Journal: :physical chemistry research 0
ali akbar mirzaei university of sistan and baluchestan somayeh golestan university of sistan and baluchestan seyed-masoud barakati university of sistan and baluchestan

support vector regression (svr) is a learning method based on the support vector machine (svm) that can be used for curve fitting and function estimation. in this paper, the ability of the nu-svr to predict the catalytic activity of the fischer-tropsch (ft) reaction is evaluated and the result is compared with two other prediction techniques including: multilayer perceptron (mlp) and subtractiv...

Journal: :desert 2015
mohammad tahmoures ali reza moghadamnia mohsen naghiloo

modeling of stream flow–suspended sediment relationship is one of the most studied topics in hydrology due to itsessential application to water resources management. recently, artificial intelligence has gained much popularity owing toits application in calibrating the nonlinear relationships inherent in the stream flow–suspended sediment relationship. thisstudy made us of adaptive neuro-fuzzy ...

2007
JAGDEV SINGH NIRMAL SINGH J. K. SHARMA

Conventional control techniques are not able to accomplish the stable cooling in vapor compression air conditioning system. This paper describes the fuzzy models of refrigerating compressor, expansion valve, evaporator and condenser as basic elements of vapor compression air conditioning system. Compressor speed, delivery pressure, refrigerant flow rate, valve opening area, pressure difference ...

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