adaptive neural fuzzy networks
Control of Non Linear Two Mass Drive System using ANFIS
... of neural networks and fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS) was proposed in this ...The fuzzy inference commonly used in ANFIS is first order Sugeno ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow controller (UPFC) installed in a single ...
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A Hybrid Edge Detection Algorithm for Salt- and-Pepper Noise
... an adaptive median filter and four identical neural networks ...of networks are adaptively adjusted by training. Training of the networks is performed by using a computer generated ...
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Virtual Sensors for Safe Operation of Electrolyser and Hydrogen powered Car
... Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are presented as virtual sensors for the accurate estimation of hydrogen parameters such as the percentage ...
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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System
... especially the parameter of resonant frequency. Here ,the feed line of the antenna is fixed in order to make the analysis of the antenna much simpler . In previous works ANNs have successfully been introduced to compute ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... a fuzzy if–then rule base so that a desired input/output mapping is ...using adaptive networks to fine tune membership functions of a fuzzy rule base has received more attention ...optimizing ...
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Oil Forecasting Using Artificial Intelligence
... an adaptive neural fuzzy inference system for forecasting the Crude oil closing ...both networks we have used a pool of 5000 most correlated indices to the main oil ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference system (ANFIS), ANFIS+GA and their response surface methodology are ...
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Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud
... the Fuzzy Delphi method, fuzzy clustering and Back-propagation Neural Networks with an adaptive learning rate (FCBPN) for sales ...Method Fuzzy Delphi based on the attributes ...
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A Review on: Artificial intelligence techniques in electrical and computer engineering
... incorporate fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithms (GAs), adaptive fuzzy logic (AFL) and expert systems ...- fuzzy logic (FL), expert systems ...
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Comparison of Artificial Intelligence Techniques for river flow forecasting
... of Adaptive Neuro Fuzzy Inference Sys- tem (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural ...
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Highly nonlinear control of a solar thermal power plant using soft computing fuzzy tuning techniques
... parsimonious fuzzy controllers, i.e. ones with a reduced fuzzy set and rule ...the fuzzy output membership func- tions, while the input membership functions were fine tuned using a pre-clustered ...
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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... First, neural networks have flexible nonlinear function mapping capability that can approximate any continuous measurable function with arbitrarily desired accuracy, whereas most of the commonly used ...
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Motion learning by robot apprentices : a fuzzy neural approach
... Analytical resolution methods for fuzzy relational equations allow incremental on- line learning in fuzzy neural networks, which is an advantage over classic neural models.. However, the[r] ...
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Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...artificial neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference system, ...
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Vol 6, No 6 (2015)
... modified fuzzy neural networks for solving fuzzy differential ...modified fuzzy neural networks to approximate the solutions of ...modified fuzzy neural ...
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IMO 2020 sulfur cap: green investment in shipping industry
... In this thesis, research on ship collision avoidance decision-making has been undertaken. Combining the COLREGs and optimising the mathematical models involved in the process of ship collision avoidance, an enhanced ...
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Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... with Adaptive Noise (CEEMDAN) Adaptive Neuro-fuzzy Inference System (ANFIS) in this ...the fuzzy inference rules are determined, and the optimal ANFIS is ...
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Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion
... neuro fuzzy logic methodology exploited to fuse images from dissimilar sensors, in order to improve conception and ...and fuzzy, neuro fuzzy based image techniques along through quality assessment ...
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