Adaptive Neuro-Fuzzy Systems
Reliability and Sensitivity Analysis of Structures Using Adaptive Neuro-Fuzzy Systems
... The ANFIS normally consists of a feed- forward network that uses back-propagation learning algorithms and fuzzy reasoning to map inputs into an output. A typical ANFIS architecture with only two inputs leading to ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... dynamical systems (Lin et al., 2008). In contrast to FFNNs and neuro-fuzzy systems, the RBFNN has a more compact structure and hence, it requires easier training procedure and less training ...
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Cultural Steward – New Role for HR
... Adaptive Neuro Fuzzy Infererence System (ANFIS) ANFIS (Adaptive Neuro-Fuzzy Inference Systems) is also called neuro-fuzzy which is a combination of ...
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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... is Neuro-Fuzzy, which is the combination of fuzzy logic and neural networks in order to solve wide variety of real world problems in an effective ...decisions. Fuzzy logic systems that ...
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Design & Analysis of Advanced Adaptive Neuro Fuzzy Interface systems for Nonlinear Networked Control Systems
... control systems with network-induced delay and data loss based on adaptive backstepping control ...approach. Fuzzy logic systems are used to approximate the unknown nonlinear characteristics ...
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Estimation of Municipal Solid Waste (MSW) combustion enthalpy for energy recovery
... an adaptive neuro-fuzzy inference systems (ANFIS) model optimised with Particle Swarm Optimisation (PSO) algorithm aimed at predicting the enthalpy of combustion of MSW fuel based on the ...
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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) classification ...
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Adaptive Neuro Fuzzy Logic System for Heavy Metal Sorption in Aquatic Environments
... Fuzzy logic proved to be useful for assessing ambiguous natural processes. Modeling of mercury bioavailability for bio-species and adsorption to sediments shows strong correlation of more than 98% between ...
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The SOC Estimation of Power Li Ion Battery Based on ANFIS Model
... introduced Adaptive Neuro-Fuzzy Inference Systems which integrated artificial neural network and fuzzy logic have predicted SOC of ...
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An Adaptive Neuro Fuzzy Model for Quality Estimation in Wireless 2D/3D Video Streaming Systems
... Abstract: Delivering high Quality of Experience (QoE) is essential to the success of today’s subscription for internet video streaming services. Quality of Service (QoS) metrics are considered by the research community ...
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Modeling and Identification of Spacecraft Systems Using Adaptive Neuro Fuzzy Inference Systems (ANFIS)
... Nadjim MERABTINE received the B.Sc degree in Electrical and Electronics Engineering and the M.Sc degree in Microwave from Portsmouth Polytechnic Hants., United Kingdom, in 1978 and 1979, respectively. He received the ...
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Short term wind power forcasting using adaptive neuro fuzzy inference systems
... In summary, for market driven power systems there is a need for accurate wind power forecasting in the short term or ‘near real time frame’. The application of an ANFIS hybrid intelligent system has been shown to ...
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An Intelligent Evaluation of Enterprise System
... software systems for smooth running of their businesses, unfortunately, most of the organizations fail to realize their set goal, due to software failure and ...of Adaptive Neuro-Fuzzy ...
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Adaptive Neuro Fuzzy Expert System for Diagnosing HIV
... of fuzzy logic system to the diagnosis of ...for fuzzy modelling, fuzzy inference system editor, membership function editor, rule editor, rule editor, rule viewer and surface viewer was MATLAB, while ...
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Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System
... a neuro fuzzy approach for estimating the reliability of service oriented ...the fuzzy logic toolbox can be used to find the reliability of such system on the basis of certain SOA ...
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Image Denoising Using Adaptive Neuro-Fuzzy System
... Sugeno-type systems are more suitable in such ...as neuro-fuzzy models appear as an attempt to merge the advantages of both systems in terms of transparency with the advantages of learning ...
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A Comparative Analysis of Fuzzy Based Hybrid Anfis Controller for Stabilization and Control of Nonlinear Systems
... a Fuzzy logic controller was designed using triangular and trapezoidal shape Membership functions ...trapezoidal fuzzy controller shows better results in comparison to triangular fuzzy ...an ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... Transmission Systems (FACTS) technology is ultimate tool for getting the most out of existing equipment via fast control action and new capabilities [3], ...
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Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications
... controller, Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and the results are compared for the power factor ...of Fuzzy controller and ...
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Adaptive fuzzy & Neuro Fuzzy Inference controller based MPPT for photovoltaic systems
... Adaptive Neuro Fuzzy Inference controller (ANFIS) to optimize the performances of photovoltaic ...of fuzzy logic and neural network technique. The fuzzy logic takes into account the ...
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