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Adaptive neuro fuzzy system

Image Denoising Using Adaptive Neuro-Fuzzy System

Image Denoising Using Adaptive Neuro-Fuzzy System

... the neuro -fuzzy network architecture [15][16]. The neuro-fuzzy network, which is an integration of the merits of neural and fuzzy approaches, enables one to build more intelligent ...

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Adaptive Neuro-Fuzzy System for Cancer

Adaptive Neuro-Fuzzy System for Cancer

... and fuzzy logic (FL) increased, during the late 1980s, to introduce the NN and FL technologies into several application ...using Adaptive Neuro Fuzzy Inference System (ANFIS) ...

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Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

... (Adaptive Neuro Fuzzy System) as it is a combination of Fuzzy logic and Neural Networks so ANFIS takes advantages from fuzzy logic and neural ...a Fuzzy inference ...

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Development of Adaptive Neuro Fuzzy Inference System for Estimation of Evapotranspiration

Development of Adaptive Neuro Fuzzy Inference System for Estimation of Evapotranspiration

... Where A T = transpose of A; and ( ) = pseudo inverse of A if A T A is nonsingular. The recursive least-square estimator (RLS) can also be used to calculate (Jang 1993). Backpropagation and LSE can now be combined to ...

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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

... practice. Fuzzy Neural Networks (FNNs) solve this by adding rules to neural networks but they lack effective learning ...The adaptive nature of Adaptive Neuro-Fuzzy Inference ...

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Modelling tide prediction using linear model and adaptive neuro fuzzy 
		inference system (ANFIS) in Semarang, Indonesia

Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia

... and fuzzy inference system (FIS) where neural network algorithm is used to determine FIS parameter (Chang and Lain, ...Sugeno’s fuzzy model is a sistematic approach in generating fuzzy ...

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Estimation of xanthate decomposition percentage as a function of pH, temperature and time by least squares regression and adaptive neuro-fuzzy inference system

Estimation of xanthate decomposition percentage as a function of pH, temperature and time by least squares regression and adaptive neuro-fuzzy inference system

... Takagi–Sugeno fuzzy inference system ...the fuzzy logic in a single framework since it integrates the principles of both methods [18, ...inference system corresponds to a set of fuzzy ...

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Wireless and Mobile Technologies

Wireless and Mobile Technologies

... on adaptive Neuro-Fuzzy inference system (ANFIS) for determining the parameters used in the design of a coplanar capacitive coupled probe fed rectangular microstrip ...of fuzzy ...

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ANFIS Based Maximum Power Extraction From Standalone Photovoltaic System For A DC House

ANFIS Based Maximum Power Extraction From Standalone Photovoltaic System For A DC House

... energy system has to incorporate ...energy system [6]. MPPT algorithms for example, fuzzy logic [7], neural network [8], hill-climbing [9], incremental conductance (IncCond) [9,10], perturb and ...

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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

... (ANN), fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS), genetic algorithms (GA), non-linear modeling, Application of ANFIS and Application of ANFIS+GA have been ...

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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System

Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System

... ANFIS is a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural network. It combines the explicit knowledge representation of an FIS with the learning power ...

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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

... the neuro-fuzzy network and the mixture process is implemented by the fuzzy inference mechanism of the neuro- fuzzy ...The neuro-fuzzy network is a first order Sugeno type ...

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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML 
BEHAVIORAL DESIGN

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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Article Description

Article Description

... hand fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always ...available. Fuzzy logic technique needs less convergence time but it depends on trial and error ...

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Damage identification using experimental modal analysis and adaptive neuro fuzzy interface system (ANFIS)

Damage identification using experimental modal analysis and adaptive neuro fuzzy interface system (ANFIS)

... The adaptive neuro-fuzzy inference system (ANFIS) is a process for mapping from a given input to a single output using the fuzzy logic and neuro-adaptive learning ...a ...

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Preparation of flood susceptibility mapping using an ensemble of frequency ratio and adaptive neuro-fuzzy inference system models

Preparation of flood susceptibility mapping using an ensemble of frequency ratio and adaptive neuro-fuzzy inference system models

... to generate GIS-based flood susceptibility maps. Today, powerful machine learning methods, such as adaptive neuro- fuzzy (Mukerji et al., 2009), genetic algorithm (Chau et al., 2005), decision tree ...

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Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy

Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy

... ABSTRACT: This paper presents a methodology for the detection of broken rotor bar fault and power quality (PQ) disturbances in the supply to induction motor. These faults lead to increase in the temperature and decrease ...

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Control of Non Linear Two Mass Drive System using ANFIS

Control of Non Linear Two Mass Drive System using ANFIS

... and fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS) was proposed in this ...The fuzzy inference commonly used in ANFIS is first order Sugeno fuzzy model because ...

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Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)

Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)

... using Adaptive Neuro-Fuzzy Inference System (ANFIS), but most of their data are multivariate ...and Fuzzy Inference System ...first-order fuzzy time series ...

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Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

... Artificial Neuro Network (ANN) to establish a sen- sorless wind speed estimator but the neuro-network is easy to be over-fitting or fall into the local ...T-S fuzzy system [9], Genetic ...

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