Adaptive Neuro Fuzzy
Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... both adaptive ANN damping controller response and Adaptive neuro-fuzzy controller ...in adaptive ANN damping controller when compared with adaptive neuro- Fuzzy ...
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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System
... and fuzzy systems had been investigated to the problems in digital signal ...A Neuro-Fuzzy System is a flexible system trained by heuristic learning techniques derived from neural networks can be ...
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Adaptive Neuro-Fuzzy Models for Conventional Coplanar Waveguides
... the adaptive neuro-fuzzy inference system (ANFIS) was successfully introduced to determine the characteristic parameters, effective permittivities and characteristic impedances, of conventional ...
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Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)
... Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then detect Edges using Adaptive Neuro-Fuzzy Inference System( ANFIS) based edge ...
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Adaptive Neuro Fuzzy Expert System for Diagnosing HIV
... an Adaptive Neuro-Fuzzy Expert System for Diagnosing HIV has been ...an Adaptive Neuro diagnostic fuzzy logic system to help in the diagnosis of HIV using a set of symptoms and ...
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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 ...
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Image Denoising Using Adaptive Neuro-Fuzzy System
... The second simulation is conducted by adding zero mean Gaussian noise in tests image with different variance. The variance starts from 0.1 to 0.9 with increments of 0.1. Fig. 4 shows plots of PSNR, MAE, and MSE versus ...
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Comparison between Neural Network and Adaptive Neuro Fuzzy Inference System for Forecasting Chaotic Traffic Volumes
... the adaptive neuro-fuzzy inference sys- tem to get the minimum number of fuzzy rules are both quite useful and ...the adaptive neuro-fuzzy inference system requires more ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... communication. Fuzzy Inference based System (Adaptive Neuro Fuzzy Inference) is used to optimize the QoS parameters such as delay and node speed for attaining the better performance of the ...
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Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy ...
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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
... Abstract— Biometrics plays a very crucial role in various pattern recognitions. Recognition systems are used for offline application and also for online applications. In the biometric family, palmprint based ...
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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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Adaptive Neuro-Fuzzy System for Cancer
... and fuzzy logic and is based on Takagi–Sugeno fuzzy inference ...of fuzzy logic in order to give enhanced prediction capabilities ...and fuzzy logic principles, it has potential to capture the ...
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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
... Estimating the xanthate decomposition percentage has a crucial role in the treatment of xanthate contaminated wastewaters and in the improvement of the flotation process performance. In this research, the modeling of ...
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An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
... Water quality is one of the main characteristics of a river system and prediction of water quality is the key factor in water resource management. Different physical, biological and chemical parameters including heavy ...
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... FJ Chang, HC Lain. 2014. Adaptive neuro-fuzzy inference system for the prediction of monthly shoreline changes in northeastern Taiwan. Ocean Engineering. 84: 145-156. GEP Box, GM Jenkins, and GC ...
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Novel Adaptive Neuro Fuzzy based Edge Detection Technique
... The proposed ANFIS detector is a first-order Sugeno type fuzzy inference system with 8-inputs and 1-output. Each input has 2 triangular type membership functions and the output has a constant membership function. ...
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Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems
... available, adaptive neuro-fuzzy inference system (ANFIS) is used to estimate unknown part of the system dynamics based on the off-line input-output ...
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Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers
... including fuzzy logic, neural networks, neuro-fuzzy, and hidden Markov ...used fuzzy logic and fuzzy min-max neural networks techniques for Korean sign language recognition ...on ...
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A Novel ANFIS Net for Classifying features from Remotely Sensed Images
... novel adaptive neuro- fuzzy inference system (ANFIS) net that is designed to classify dust, clouds, water and vegetation features from remotely sensed ...
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