neural-fuzzy based approach
On hybrid intelligence-based control approach with its application to flexible robot system
... the fuzzy-based concepts can be discussed in the area of control systems of smart ...The neural network is used to design the control system of a flexible robot ...artificial neural networks ...
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Content Based Image Retrieval for Medical Imaging Using Fuzzy FFBP Neural Network Approach
... Abstract-Content Based Image Retrieval system based on medical images used to retrieves the similar type of medical image for a given input query image from large ...content based image retrieval ...
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Knowledge Extraction in Fuzzy Relational Systems Based on Genetic and Neural Approach
... generated fuzzy rule-based systems. Such an adaptive approach envisages the development of a hybrid genetic and neural algorithm for solving composite fuzzy relational ...hybrid ...
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An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes
... a fuzzy nonlinear regression model capable of dealing with uncertain situations and nonlinear ...both fuzzy regression and ANNs models while their mentioned deficiencies have been ...Artificial ...
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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
... Artificial Neural Network by using the Radial Basis Function (RBF) network for ...the Fuzzy Logic technique by incorporating fuzzy colour histogram for ...-Fuzzy Based Clustering ...
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Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence
... Systems approach which is based on neural networks, fuzzy sets, genetic algorithms and chaos theory has been applied to tackle this problem In this framework first a feed-forward neuro-model ...
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Secure MQTT: an efficient fuzzy logic based approach to detect DoS attack in MQTT protocol for internet of things
... artificial neural networks, genetic algorithm, and fuzzy logic which are applied for detecting the anomaly in the IoT ...the fuzzy logic model, which helps to produce better ...
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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] ...
12
Neural Fuzzy Approach for Power Load Forecasting Analysis
... In this step, the annual power consumption value is generated, by using the triangular shaped membership function. This is mainly done to improve the accuracy of the power consumption value. Based on the ...
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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 on the ...
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Analytical and numerical solution of differential equations with generalized fuzzy derivative
... novel approach based on the fuzzy neural network for finding the numerical solution of the first order fuzzy differential equations under generalized ...order fuzzy differential ...
25
Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model
... on fuzzy models and neural networks that are used to describe the strongly nonlinear relationships between measurement and ...model–based approach relying on nonlinear differential geometry ...
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Vol 2, No 11 (2014)
... Three phase Induction Motor have wide applications in electrical machines. About half of the electrical energy generated in a developed country is ultimately consumed by electric motors, of which over 90 % are induction ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... A Proportional-Integral-Derivative PID controller is a widely used feedback controller in industrial control systems. A PID controller calculates a value called "error" as the difference between a measured ...
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New Approach of Stability for Time Delay Takagi Sugeno Fuzzy System Based on Fuzzy Weighting Dependent Lyapunov Functionals
... Takagi-Sugeno fuzzy systems by using fuzzy weighting- dependent Lyapunov-Krasovskii functionals are pre- ...proposed approach improves existing ones in ...
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Water Wave Optimization Algorithm for solving combined economic and emission dispatch problem
... population based optimization techniques like NR [10], GA [28], PSO [28], PDE [21], FPA [21], MODE [22], GSA [23], MABC [24], BSA [25], NSGA-II [26] and FCGA ...
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Comparative Study of Various Neural Network Models for Software Quality Estimation
... of neural network in software quality estimation based on object oriented ...three neural network models namely Ward Neural Network (WNN), General Regression Neural network (GRNN) and ...
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Deduction of reservoir operating rules for application in global hydrological models
... evolution metropolis (SCEM-UA) method (Vrugt et al., 2003) to calculate the optimal release within a predetermined daily feasible release range, based on the reservoir purpose. Adam et al. (2007) use this ...
21
Correntropy Based Evolving Fuzzy Neural System
... EFNS based on the correntropy concept of ITL to achieve the evolution of the rules and update of the rule parameters instead of the absolute error and the MSE criteria widely used in the existing ...EFNS ...
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A NOVEL PREPROCESSING SYSTEM USING EVOLUTIONARY NEURO FUZZY SYSTEM
... the fuzzy AND of the antecedent part of the fuzzy rules, the third layer normalizes the membership functions (MFs), the fourth layer executes the consequent part of the fuzzy rules, and finally the ...
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