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fuzzy inference adaptive artificial neural network

WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES

WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES

... study Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) models were used to analyze metrological data sets obtained ...

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Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

... by fuzzy inference system and artificial neural network ...results neural computing techniques are majorly used, which works by training ...

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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System

Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System

... applying adaptive network-based fuzzy inference system (ANFIS) for analysis of the resonant frequency of a microstrip rectangular patch antenna with two equal size slots which are placed on ...

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Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

... of Artificial Neural Networks [9], fuzzy logic [10], adaptive network fuzzy inference system [11] and a combination of several different modelling methods ...

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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water

Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water

... Regression Neural Networks (GRNN) as well as ANFIS were examined in estimation of VW using measured data of the yield and Crop Water Requirement (CWR) of common crops, and climatic factor data in ...

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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference  Systems (ANFIS) Approaches

Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches

... used Artificial Immune System (AIS) and resulted in ...hybrid Neural Network ANN and fuzzy neural network (FNN) and reached the classification accuracy of ...using neural ...

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Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches

Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches

... two artificial intelligence approaches, has been used namely artificial neural network (ANN) and adaptive neuro fuzzy inference system ...the artificial ...

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Comparing Soft Computing Techniques for Estimating Demand of Season Ticket Holders

Comparing Soft Computing Techniques for Estimating Demand of Season Ticket Holders

... techniques, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN), were utilized to predict demand of season ticket holders of soccer clubs in this ...

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Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres

Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres

... ANFIS: Adaptive neuro-fuzzy inference system; ANN: Artificial neural network; ANP: Analytic network process; AR: Auto- regressive; ARIMA: Auto-regressive integrated moving ...

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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

... uses neural network, fuzzy and Adaptive neuro fuzzy inference system ...use Neural Network (NN), Bang-Fuh et ...and artificial NN to forecast and supplement ...

5

Comparison of Artificial Intelligence Techniques for river flow forecasting

Comparison of Artificial Intelligence Techniques for river flow forecasting

... of Artificial Intelligence methods is be- coming increasingly common in the modeling and forecast- ing of hydrological and water resource ...of Adaptive Neuro Fuzzy Inference Sys- tem (ANFIS) ...

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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River

Hybrid Models Performance Assessment to Predict Flow of Gamasyab River

... of neural networks for modeling precipitation - runoff in the basin Aq Chay Iran ...the neural network ...from artificial neural networks and Adaptive Neural-Fuzzy ...

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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

... of artificial intelligence techniques such as ANN [20–25], Support Vector Machines (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...on Artificial ...

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Deduction of reservoir operating rules for application in global hydrological models

Deduction of reservoir operating rules for application in global hydrological models

... derive fuzzy rules describing the way a reservoir is ...an artificial neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based ...

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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

... three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive ...

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Virtual Sensors for Safe Operation of
Electrolyser and Hydrogen powered Car

Virtual Sensors for Safe Operation of Electrolyser and Hydrogen powered Car

... I would like to thank Professor Chris Letchford, Head of the School of Engineering, for his support in this project. I also appreciate Professor Michael Negnevitsky for his knowledge and guidance in Artificial ...

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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

... rule-based fuzzy neural networks were built for predicting the operation of pumps in Yu-Cheng pumping station by taking observational and forecasting in- formation into account (see ...

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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

... the fuzzy logic and neural networks, are widely spread in real world problems with high effectiveness and versatility for different kinds of ...The fuzzy logic systems with their ability of tackling ...

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Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques

Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques

... (KNN), Neural Network (NN), Adaptive Network-Based Fuzzy Inference System (ANFIS), Support Vector Regression (SVR) and Classification and Regression Trees (CART) are used for ...

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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY 
FEATURES

SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES

... hybrid neural networks with the logic fuzzy resulting, ...with neural networks where the result was compared between the actual output of the function with the neural network ...

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