adaptive-neural-based Fuzzy Inference System
Modelling nitrate concentration of groundwater using adaptive neural based fuzzy inference system
... of Adaptive Neural-Based Fuzzy Inference System (ANFIS) for estimating the nitrate ...data. Based on the obtained structures, four ANFIS models were tested against the ...
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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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Prediction of Soil Fractions (Sand, Silt and Clay) in Surface Layer Based on Natural Radionuclides Concentration in the Soil Using Adaptive Neuro Fuzzy Inference System
... is fuzzy logic which is particularly attractive due to its ability to solve problems in the absence of accurate mathematical models ...modeling system behavior [11]. In fuzzy inference ...
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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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Computing air demand using the Takagi–Sugeno model for dam outlets
... An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet ...relationships based on the ...
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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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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... are based on empirical relationships developed from the experiment a l ...(SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...Artificial Neural ...
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Neural fuzzy Inference Based Robust Adaptive Beamforming
... The neural networks try to shape the biological functions of the human ...nervous system in assimilating, learning or to foresee reactions or decisions to be ...first Neural Network model and ...the ...
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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION
... 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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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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Application of Adaptive Neural Fuzzy Inference System for the Prediction of Software Defects
... CMM of any program is C (p) =N-L+2, where N is no of edges and L is no of vertices. The introduction of measures of Halsted complexities by Halsted takes various language algorithm implementations. It is observed that ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... the Fuzzy Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based ...
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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... represented based on system identification models under vortex induced vibration (VIV) has been verified in this ...Two System identification methods used to create models which are: Neural ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... Research based on various approaches, including Taguchi technique, artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference ...
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... A study was conducted in 2013 on modelling and predicting the formation of ozone in the air of Mashhad city using a neural fuzzy network based on inference fuzzy-adaptive ...
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Neural Network based Video Quality via Adaptive FEC in Wireless Environment
... Artificial Neural Network (ANN) has proven capability in wireless communications in building wireless intelligent ...applying neural networks is to change from the lengthy analysis and design cycles ...
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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 ...
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Deduction of reservoir operating rules for application in global hydrological models
... decisions based on experience and often uncertain informa- ...derive fuzzy rules describing the way a reservoir is ...artificial neural network capable of mim- icking fuzzy logic, called the ...
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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... systems based on ANN and Neuro-Fuzzy approaches in order to develop an automatic heart disease diagnosis ...ANN system using the training data set, where the accuracy for each system was 100% ...
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