neural network-based fuzzy system
Smart Growth Evaluation System based on Fuzzy Theory and Neural Network
... We have defined this indicators in the second part- Evaluation of feature extraction and quantification. By collecting a large number of references and expert advice, we can make a qualitative analysis of the factors ...
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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 systems. It ...
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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... of fuzzy logic and artificial neural network results in ANFIS ...the system i.e. fuzzy logic and neural ...The fuzzy logic controller and neurons of NN are implemented ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... past fuzzy clustering algorithms when identifying systems, a fuzzy clustering neural network (FCNN) is proposed and is applied to conjunction speech recognition ...system. Based ...
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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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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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Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ...
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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System
... Figure 11.below illustrates S11 curves for the whole possible situations Since the antenna resonates in more than one frequency ,it is necessary that an appropriate algorithm to detect the resonant frequencies be ...
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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 inference ...
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Vol 2, No 11 (2014)
... as fuzzy logic control, neural network control, genetic algorithm, and expert system, proved to be ...accurate system mathematical ...schemes. Fuzzy controller conventionally is ...
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Review on Face Recognition Using Fuzzy Logic and Neural Techniques Pooja, II Shaloo Kikan Student M.Tech., Electronics & Communication Engg., P.D.M. College, Bahadurgarh, India
... Their system arbitrates between multiple networks to improve performance over a single neural ...proposed Neural Network based Face Recognition with Moment ...
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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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Development of Hybrid Intrusion Detection System and Its Application to Medical Sensor Network
... your system and network ...computer system is carried out by Intrusion Detection Systems (IDS) and it forms a major portion of system defence against ...Detection System (IDS) ...
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Computing air demand using the Takagi–Sugeno model for dam outlets
... inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet ...relationships based on the experimental information obtained from physical ...
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Survey on Credit Card Fraud Detection Methods
... techniques based on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector ...
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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... counterpropagation network (CPN), which was pro- posed by Hecht-Nielsen (1987), functions as a self- programming optimal lookup table, providing the mapping between input and output ...and fuzzy arithmetic, ...
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Eamining and Comparing Data Mining-Based Techniques for Hepatitis Diagnosis
... Adaptive Network Fuzzy Inference System, ANFIS ...consultation system for rapid diagnosis of hepatitis ...a neural network-based and PCA-based system for ...
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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, ...
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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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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... of fuzzy cognitive maps (FCM) for a knowledge-based navigation ...the system becomes able to adapt to changes in the environment and successfully avoid ...a neural network, for ...
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