adaptive network fuzzy inference system
Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... motor system. With the combined synergy of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault ...
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Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System
... paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of a Shell and Tube Heat Exchanger as interval type-2 fuzzy logic controller ...Two ...
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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System
... using Adaptive-network-based fuzzy inference system(ANFIS)technique are quite satisfactory and far outweigh some algorithms such as ANN , SVM and RVM as they will not be able to ...
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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 ...
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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...Neural Network (ANN), with few studies on use of Adaptive Neuro-fuzzy Inference ...
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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System
... neural network and an interval type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Heat ...
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Adaptive Network Based Fuzzy Inference System Model for Minimizing Handover Failure in Mobile Networks
... the Adaptive network based Fuzzy inference system (ANFIS) which is an hybrid of two techniques of artificial intelligence which make it suitable to handle complexities such as ping-pong ...
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COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
... of adaptive network-based fuzzy inference system (ANFIS) and multi-layered perceptron-imperialist competitive algorithm (MLP-ICA) are used to predict time series of infected individuals ...
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Prediction of Water Level Fluctuations of Chahnimeh Reservoirs in Zabol Using ANN, ANFIS and Cuckoo Optimization Algorithm
... Neutral Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) and Cuckoo Optimization Algorithm (COA) for forecasting fluctuations in water level of Chahnimeh reservoirs in ...
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Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... distribution network planning in power systems. The ultimate goal of power system planning is to determine the economic expansion of equipment and facilities to meet future electricity needs of customers ...
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A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS
... the Adaptive Neuro-Fuzzy Inference System (ANFIS), Multilayer Feedforward Neural Network (MFNN) and Elman Recurrent Neural Network (ERNN) are chosen to compare with the ...
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Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques
... Neural Network (NN), Adaptive Network-Based Fuzzy Inference System (ANFIS), Support Vector Regression (SVR) and Classification and Regression Trees (CART) are used for diseases ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... Extensive simulation studies are conducted to observe the performance of the proposed CNFN-based forecasting model. Separate experiments are conducted for each data set. In order to avoid the biases of the neural-based ...
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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... an adaptive neural network that utilized a fuzzy inference system as an integrated procedure to produce the predicted ...The Fuzzy Inference System (FIS) includes ...
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Prediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system
... feed-forward network in which each node performs a particular function on incoming signals as well as a set of parameters related to this node (Jang, ...of network can be simplified to a structure having ...
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Machine Learning Approaches for Accurate Prediction of Relative Humidity based on Temperature and Wet-Bulb Depression
... the Adaptive Network-Based Fuzzy Inference System (ANFIS) and Least Square Support Vector Machine (LSSVM) are developed for calculating relative humidity in terms of wet bulb depression ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy logic based system in the form of parallel ...and fuzzy logic system work ...the fuzzy system into a neural network ...the fuzzy logic sub-blocks can be ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... Adhoc networks form without a need of centralized controller. It do not require any wired infrastructure for inter communication. Adhoc networks can change location rapidly and configure it because they use wireless ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... neuro fuzzy classifier. The neuro fuzzy classifier is used for classification is the Adaptive Network based Fuzzy Inference ...neuro fuzzy classifier is tested for ...
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Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference ...
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