adaptive fuzzy inference system
Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... [3] Adaptive fuzzy inference system is proposed to improve the scalability of adhoc ...networks. Fuzzy network consist of three ...represents fuzzy rules and third layer denotes ...
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Rainfall-runoff modelling of a watershed
... an adaptive neuro-fuzzy inference system was used for rainfall-runoff modelling for the Nagwan watershed in the Hazaribagh District of Jharkhand, ...
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Forecasting methods are techniques in Statistical tools for decision making. Forecasting approach for time series data can be done using two ways, the linear and non-linear approach. Forecasting methods with linear ...
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An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
... Takagi-Sugeno fuzzy inference ...with fuzzy systems is to exercise learning ability of neural network while the learning capability is a benefit in terms of fuzzy system; on the other ...
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Machining Process Optimization By Colony Based Cooperative Search Technique
... uses adaptive neuro-fuzzy inference system (ANFIS) system to represent the manufacturer objective function and an ant colony optimization algorithm (ACO) to obtain the optimal objective ...
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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System
... type-2 fuzzy sets. A type-2 fuzzy set is characterized by a fuzzy MF, that is, the membership value (or membership grade) for each element of this set is a fuzzy set in [0, 1], unlike a type-1 ...
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate dc link voltage ...
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Extraction Of Fetal Electrocardiogram Using An Adaptive Neuro-Fuzzy System
... and fuzzy systems have established their reputation as alternative approaches to signal ...the system. Fuzzy inference systems (FIS) incorporate human knowledge and perform inferencing and ...
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Modeling Marshall stability of lightweight asphalt concretes fabricated using expanded clay aggregate with anfis
... years[14]. Adaptive Neuro-Fuzzy Inference System (ANFIS) is fuzzy system that uses ANN’s theory to determine its properties (fuzzy sets and fuzzy rules) ...Neuro ...
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Uncertainty analysis through development of seismic fragility curve for an SMRF structure using an adaptive neuro-fuzzy inference system based on fuzzy C-means algorithm
... While ANN was employed to develop fragility curves in several mentioned works, using Adaptive Neuro Fuzzy Inference System (ANFIS) was not re- ported as far as the author's knowledge was ...
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Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization
... 3. Adaptive neural-fuzzy inference system ANFIS (Adaptive Neural-Fuzzy Inference System) is a combination of neural networks and fuzzy ...of fuzzy ...
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A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors
... intrinsic fuzzy logic abilities, ...a fuzzy in- ference ...the fuzzy in- ference system. The Adaptive Neuro-Fuzzy Inference Sys- tem (ANFIS) algorithm (Jang et ...a ...
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Modelling COD concentration by using three different ANFIS techniques
... different adaptive neuro-fuzzy inference system (ANFIS) techniques, ANFIS with fuzzy clustering (ANFIS-FCM), ANFIS with grid partition (ANFIS-GP) and ANFIS with subtractive clustering ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) were designed and simulated on the TWIP ...
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Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis
... automated system has more degrees of freedom And it is called (DOF) that required to perform a specific manipulator duplicate ...Neuro System Fuzzy Inference) to the data that has been created ...
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Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
... Predicting the rainfall is a complex process due to the incidence of rain is non linear and dynamic. Many studies have tried to modeling rainfall forecasting to predict accurately. Such as statistical model approach like ...
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength
... of fuzzy systems: pure fuzzy systems, Mamdani type and Sugeno type fuzzy inference systems (Liu et ...2009). Adaptive Neuro-Fuzzy Inference System (ANFIS) is the ...
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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
... Biometrics based technologies are used to deal with security problems and also for identifying individuals in a fast and reliable way through the use of unique biological characteristics. Unlike keys and passwords, ...
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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System
... imaging system (sensor noise, limited system accuracy, finite precision, quantization of image data, ...imaging system (random scattering, absorption, ...and fuzzy systems had been ...
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Development of Adaptive Neuro Fuzzy Inference System for Estimation of Evapotranspiration
... Make fuzzy and neuro fuzzy model and their results will be ...The fuzzy rule- based approach is applied for the construction of fuzzy ...of fuzzy models that are not trained during the ...
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