Adaptive Fuzzy Logic
An Adaptive Fuzzy Logic Based Technique To Read User’s Mind for Image Annotation
... Abstract - Nowadays, Eye trackers are used in research on the visual system. Eye tracking is the process of measuring either the point of gaze or the motion of an eye relative to the head. In digital imaging technology, ...
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An Adaptive Fuzzy Logic Assisted Configuration Mechanism for WSN
... use fuzzy-logic mechanism for wireless sensor network in order to improve the design of network joining mechanism for ZigBee networks that can build large scale cluster-tree topology with maximum node ...
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Adaptive Fuzzy Logic Controller for Rotary Kiln Control
... a Fuzzy Logic Controller system is proposed to run on MATLAB, that translates the operators knowledge into membership functions that can well handle the operation of the ...made adaptive by making it ...
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Control of Thermal Power System Using Adaptive Fuzzy Logic Control
... control areas when the LFC system consisted of more than one area. In chapter 2, appropriate conventional PID control was selected for each area and tuning of the control parameters was done manually to ensure the ...
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Adaptive Fuzzy Control Approach For Automatic Generation Control Of Two-Area Interconnected Hydro-Thermal System
... an adaptive fuzzy logic control for automatic generation control of interconnected two area Hydro-Thermal System using This paper deals with a novel approach of artificial intelligence (AI) technique ...
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Software Effort Estimation using Fuzzy Logic Membership Functions
... using Fuzzy Triangular Membership Function and GBell Membership Function with ...used fuzzy logic in improving the effort estimation accuracy using COCOMO II by characterizing inputs parameters using ...
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Handling Uncertain Leases in Infrastructure as a Service Clouds
... There are hundreds of examples available for use of fuzzy and neural based systems for working with the industrial and technical applications [6]. Industrial applications like fire zone control, waste water ...
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Fuzzification Of Fuzzy Logic And Fuzzy Sets With An Overview Of Fuzzy Set Operations And Applications R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF IJIRMET160206022
... Meanwhile, this paper can also activate the further investigations related to the integration of fuzzy logic controller with soft computing techniques. In the present work, the method has been found ...
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fuzzy-logic.ppt
... 1970 First Application of Fuzzy Logic in Control Engineering (Europe).. 1975 Introduction of Fuzzy Logic in Japan.[r] ...
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Pulse Width Modulation Based Adaptive Hysteresis Current Controller Using Intelligent Technique
... between adaptive hysteresis current controller and three-phase carrier-based pulse width modulation ...(PWM). Adaptive hysteresis current controller (HCC) technique for a three phase shunt active power ...
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Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive
... the fuzzy based MRAC and sliding mode controls for Indirect vector controlled induction motor ...– Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum ...
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Simulation of Speed control of switched reluctance motor using ANFIS
... (17) As is known, the adaptive controllers suffer from parameter drafting. Since all the estimated parameters are bounded, the controller will be stable. However, parameters will not necessarily converge to their ...
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Overview of Modelling and Control Strategies for Wind Turbines and Hydroelectric Systems: Comparisons and Contrasts
... the fuzzy–based estimation error can fall below the value of the model–based schemes, as shown for the controllers derived via the automatic tuning ...hand, fuzzy controllers achieve good control ...
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Adaptive the Modeling of BLDC Motor Based on Fuzzy Logic and Genetic Algorithm
... Fuzzy Logic Controller has two input and every input carry seven member. And after that its generate rules as given Table 1. Based on its current error and FLC when using the FLC controller in the response ...
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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... “While traditional or ‘hard’ computing uses crisp values, or numbers, soft computing deals with soft values, or fuzzy sets. Soft computing is capable of operating with uncertain, imprecise and incomplete ...
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Type 2 fuzzy elliptic membership functions for modeling uncertainty
... in fuzzy logic theory, no doubt almost all of them report the superiority of fuzzy logic systems over the conventional methods, may cause the readers get lost in this big ocean; and frankly ...
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An Efficient Approach Toward Increasing Wireless Sensor Networks Lifetime Using Novel Clustering in Fuzzy Logic
... The defuzzifier performs defuzzification on the fuzzy solution space. It finds a single crisp output value from the solution fuzzy space. Some of common defuzzification techniques are: Center of Area ...
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Applications of fuzzy logic approach in image segmentation
... Clustering refers to identifying the number of subclasses of c data samples, and c < n). c = 1 denotes rejection of the hypothesis that there are clusters in the data, constitutes the trivial case where each sample is ...
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Component Evaluation for Adaptive Component-Based Software Architecture using Fuzzy Logic
... The fuzzy adapter manages the adequacy level of the ...explanation Fuzzy adapter is shown in figure ...The fuzzy adapter is connected with application logic through architecture ...application ...
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Optimal Design of Photovoltaic–Battery Systems Using Interval Type 2 Fuzzy Adaptive Genetic Algorithm
... type-2 fuzzy adaptive genetic algorithm (IT2AGA). In- terval type-2 fuzzy logic (IT2FL) was used to adjust the crossover probability (p cross ) and the mutation probability ...
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