adaptive neuro-fuzzy network
Efficiency of genetic algorithms in intelligent hybrid control systems
... The paper is devoted to features of genetic algorithms application in intelligent hybrid control systems. We demonstrate a general view over the model of hybrid adaptive control system. Also we considered ...
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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... including Adaptive Neuro-fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Generalized Neural Network (GRNN) were applied to model and estimate the punching load of ...
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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... In large data sets, it has cost-effective and flexible non-linear modeling since the optimization is easy. In ad- dition, it is accurate in predictive inference. Another important factor is that these models can make ...
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Comparative Predictive Analysis of Material Removal Rate (MRR) of Wire Electrical Discharge Machining (WEDM) of High Carbon High Chromium Die Steel
... Neural Network (ANN) and Adaptive Neuro Fuzzy Interface System (ANFIS) are developed to establish the relationship between MRR with the input parameters of pulse on time, pulse off time, ...
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Adaptive neuro-fuzzy control of an induction motor
... Neuro-fuzzy network system combines the advantages of neu- ral network and fuzzy logic ...Neural network provides connectionist structure and learning abilities to the ...
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Study of connectivity properties and network topology for neuroimaging classification by using adaptive Nero fuzzy inference system
... Neuro imaging techniques are used to study the structural and functional connectivity of the human brain to identify abnormalities, Mild Cognitive Impairment (MCI) and Alzheimer ’s disease ( AD) can be identified ...
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Forecasting methods are techniques in Statistical tools for decision making. Forecasting approach for time series data can be done using two ways, the linear and non-linear approach. Forecasting methods with linear ...
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Adaptive Neuro-Fuzzy Systems
... of fuzzy systems (Zadeh, 1965; Ruspini et ...specify fuzzy sets to partition all variables and a sufficient number of fuzzy rules to describe the input/output relation of the problem at ...a ...
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Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... of adaptive neuro-fuzzy inference system which connects fuzzy logic system with neural network and constructs a hybrid intelligent system and benefits from the advantages of both ...
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WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... compared Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) models to analyze metrological data sets obtain from the metrological ...
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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION
... Adaptive Neuro Fuzzy Inference System (ANFIS) which is an integration of neural networks' features and fuzzy logic has the potential to capture the benefits of both fields in a single ...the ...
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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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A Hybrid Edge Detection Algorithm for Salt- and-Pepper Noise
... Abstract—This paper presents a hybrid edge detection algorithm in situations where the image is corrupted by Salt- and-Pepper noise. Edge detection is an important pre- processing step in image analysis. Successful ...
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Estimation of pH and MLSS using Neural Network
... an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN) modeling applied to the domestic plant of the Bunus regional sewage treatment ...neural network ...
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Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools
... the Adaptive Neuro-Fuzzy System (ANFIS), have both been described by Jang ...neural network that is functionally the same as a Takagi-Sugeno type inference ...the fuzzy logic theory ...
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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 south-east ...
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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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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 Networks (FFNN), and ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... the neuro fuzzy classifier. The neuro fuzzy classifier is used for classification is the Adaptive Network based Fuzzy Inference ...developed neuro fuzzy ...
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Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches
... An accurate prediction of crude palm oil (CPO) prices is important especially when investors deal with ever-increasing risks and uncertainties in the future. Therefore, the applicability of the forecasting approaches in ...
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