[PDF] Top 20 Neural fuzzy Inference Based Robust Adaptive Beamforming
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Neural fuzzy Inference Based Robust Adaptive Beamforming
... to robust beamforming based on fuzzy logic theory that is suitable for both point and scattered ...is based on the optimum beamformer and makes it robust to an imperfect estimate ... See full document
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... In the present study, the triangular (trimf), trapezoidal (trapmf), gaussian (gaussmf), generalized bell shaped (gbellmf), and sigmoid (sigmf) membership functions (Laslett et al.) were used for input data. For output ... See full document
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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 ... See full document
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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 diseases ... See full document
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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 system ... See full document
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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 ... See full document
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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 experimental ... See full document
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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 ... See full document
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ... See full document
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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 measured ... See full document
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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
... a Fuzzy system generator, a Fuzzy Inference System (FIS), and an Adaptive Neural ...Sugeno-type Fuzzy Inference System [20] which is a combination of a FIS and an ... See full document
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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 ... See full document
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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 ... See full document
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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 ... See full document
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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... This research effort developed two systems based on ANN and Neuro-Fuzzy approaches in order to develop an automatic heart disease diagnosis system. From both Table 4 and Table 5, it is clear that the ... See full document
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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 ...are: Neural Network based on Nonlinear Auto-Regressive External (Exogenous) Input ... See full document
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two ... See full document
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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 ... See full document
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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 ... See full document
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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 ... See full document
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