neuro-fuzzy systems
Reliability and Sensitivity Analysis of Structures Using Adaptive Neuro-Fuzzy Systems
... Sensitivity analysis is executed to recognize the most important parameters affecting safety. The derivative-based approach of sensitivity has the attraction of being very efficient in computer time [18,19]. Derivatives ...
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A TSK Type Recurrent Neuro Fuzzy Systems for Fault Prognosis
... and fuzzy logic is considerably practical be- cause it combined both of the advantages and makes the entire system more ...whereas fuzzy logic has an ability to mimic the sensing, generalizing, processing, ...
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Foreign Currency Exchange Rate Prediction using Neuro Fuzzy Systems
... and Neuro Fuzzy Computing geared towards ANFIS implementation (Fahimifard, Homayounifar, Sabouhi, & Moghaddamnia, 2009; Bagheri, Mohammadi Peyhani, & Akbari, ...
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Neuro-Fuzzy systems for Automatic Temperature Drying Aggregate
... of neuro- fuzzy control system temperature mode drying ...of neuro-fuzzy controller and fuzzy automatic temperature control of the drying process of raw cotton, which is invariant to ...
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Selecting Oil Wells for Hydraulic Fracturing: A Comparison between Genetic Fuzzy and Neuro Fuzzy Systems
... of fuzzy variables in- volved in the selection process, professionals has become increasingly interested in intelligent systems which may serve to support decision making in many aspects of the operation, ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy system remains without any ...specific fuzzy system ...cooperative neuro fuzzy systems can be classified into four types: 1-The cooperative neuro-fuzzy ...
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Effective Assessment of Software Reliability by Using Neuron-Fuzzy System
... the fuzzy logic and neural networks models were very ...developed fuzzy model and neural networks for assessing the software ...improved Neuro Fuzzy systems based approach for software ...
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Modelling Metal cutting Parameters Using Intelligent Techniques
... of systems based on artificial intelligence, ...networks, fuzzy logic systems, genetic algorithms, as well as hybrid ...adaptive neuro-fuzzy ...
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Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks
... “neuro fuzzy systems”. Such systems are becoming increasingly visible as consumer products ranging from air conditioners and washing machines to photocopiers and ...are neuro ...
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Efficiency of genetic algorithms in intelligent hybrid control systems
... and fuzzy logic [1-7]. Such systems are called ...the neuro-fuzzy systems allows successful solution the task of controller parameters adaptation ...of neuro-fuzzy system ...
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A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques
... place neuro-fuzzy structures are sequentially updated with new incoming samples on demand and ...the systems/models "up-to- date" ...evolving neuro-fuzzy structures techniques ...
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Optimized Scheduling of Generating Unit for Economic Load Dispatch using Neuro Fuzzy Expert Systems
... Neuro Fuzzy Systems generally are based on expert view or fuzzy logic for deciding the thresholds or boundaries. Subsequently the data is fed to neural network for training. After training the ...
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Study of Existing Work on Soft Computing Methodologies and Fusion of Neural Network and Fuzzy Logic for Estimation and Approximation
... Handling uncertainty in such systems is essential because humans do not think in precise terms. The idea behind neuro-fuzzy systems is to mimic human thought and action. Bellman and Zadeh [7] ...
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DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS
... two systems based on ANN and the neuro-fuzzy approach to the development of an automated diagnostic system for cardiovascular ...the neuro-fuzzy system is superior to the INS system ...
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Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer
... problems. Fuzzy logic is a new way of expressing ...of fuzzy Controllers and other types of Fuzzy Expert System. Neuro-fuzzy systems are connectionist models that allow learning ...
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Developing a Neuro Fuzzy Model for Weather Prediction
... ellipsoidal fuzzy clustering ...of fuzzy clustering in the case of a single-input/single-output function modeled by a fuzzy inference system with Gaussian antecedents ...
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Vol 12, No 1 (2014)
... crisp, Fuzzy logic and Neuro- Fuzzy logic are implemented for image fusion in order to incorporate uncertainty to the images ...of Neuro-fuzzy of fuzzy systems can achieve ...
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Modeling and Identification of Spacecraft Systems Using Adaptive Neuro Fuzzy Inference Systems (ANFIS)
... This paper attempts to present ANFIS control design framework for a class of nonlinear multiple-input multiple-output (MIMO) system with uncertainties. This research effort is motivated by the following considerations: ...
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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... Each fuzzy system contains three main parts of fuzzifier, fuzzy database and ...defuzzifier. Fuzzy database includes two main parts of fuzzy rule base, and inference ...the fuzzy and ...
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Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers
... September 2002. Prior to joining AUS, from March 1997, till July 2002 he was with Conexant Systems, Inc. (formerly Rockwell Semi- conductor Systems), Newport Beach, California. Before joining Conexant ...
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