fuzzy hybrid neural network
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the network adjusting at a certain level the fuzzy system remains without any ...specific fuzzy system ...neuro fuzzy systems can be classified into four types: 1-The cooperative ...
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Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... on fuzzy logic and artificial neural ...an hybrid system were proposed to combine both ...using fuzzy logic, neural network and hybrid system to interpret root mean square ...
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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 ...i.e. fuzzy logic and neural ...The fuzzy logic controller and neurons of NN are implemented based on field ...
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Profiling and forecasting air pollutant index for Malaysia
... Second, comparisons between classical and modern forecasting methods, artificial neural network (ANN), fuzzy time series (FTS) and hybrid are carried out to identify the best model in [r] ...
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Survey on Various Types of Noise and Methods for Noise Removal
... Intelligent systems are capable to provide efficient and powerful decision making in real applications. Moreover, automatic decision support, artificial evolution, intelligent search and optimization are unique ...
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Hybrid Bat BP: a new intelligent tool for diagnosing noise induced hearing loss (NIHL) in Malaysian industrial workers
... In but ~~nfortunately this paper, a new Hybrid Bat-BP algorithm which is based on the trio combination of BAT based metaheuristic optimization, back-propagation neural network, and fuzzy[r] ...
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Accurate and Fast Diagnosis of Heart Disease using Hybrid Differential Neural Network Algorithm
... namely Hybrid Differential Evolution based Fuzzy Neural Network (HDEFNN) for heart disease ...of neural network based learning. Here the performance of neural ...
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Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic
... stand-alone hybrid power ...the hybrid power system and energy storage elements in order to satisfy the load requirements based on artificial neural network (ANN) and fuzzy logic ...The ...
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Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... proposed hybrid intelligent system used the fuzzy expert system in addition to the neural network ...groups: fuzzy such as blood pressure and medical tests and rest are deemed to be ...
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Estimation of Exchangeable Sodium Percentage with the aid of Sodium Adsorption Ratio in sedimentary soils
... -a hybrid of neural network and fuzzy logic-, showed the best performance to estimate ESP from SAR 1:1 ...MLP network was superior to logarithmic ...
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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL
... three hybrid rainfall forecasting model: Neural Network and Fuzzy Expert System, Domain Expert System(DES) and Neural Networks (NN) and Combination of Fuzzy Expert System and ...
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A Fuzzy Based Classification – An Experimental Analysis
... technique Neural Network and Support Vector Machine are used for classification of Caridotocography data ...of hybrid technique, when Fuzzy is combined with Neural Network and ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... of neural network and fuzzy logic, determines the parameters of the fuzzy system using the neural network learning ...the fuzzy system, indicative of uncertainty. ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, ...
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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... a fuzzy Hammerstein model was identified from the input–output operation data of an SOFC stack, and then the associated standard predictive controller was applied to the fuel control of the stand-alone SOFC stack ...
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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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Relationship between isoseismal area and magnitude of historical earthquakes in Greece by a hybrid fuzzy neural network method
... the hybrid-neural-fuzzy and the neural ...the hybrid fuzzy neu- ral network (HFN), and the conventional neural network es- timator (NN) are computed as ...
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Hybrid Approach for Classification using Multilevel Fuzzy Min-Max Neural Network
... In [19], (GNN) Granular Neural Network for granular data classification was developed.Hyperbox fuzzy set is used to describe granulardata [19]. 2n input nodes are used here, therefore,it can handle ...
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Numerical solution of hybrid fuzzy differential equations by fuzzy neural network
... of fuzzy weights whose input- output relations were defined by extension prin- ...feedforward neural networks using the back- propagation-type learning ...partially fuzzy three-layer neural ...
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A Survey on Advanced Segmentation Techniques for Brain MRI Image Segmentation
... are Neural Network Model, Self- Organizing Maps, Radial Basis Function, Back Propagation, Fuzzy C-Means, Deformable Models, Level Set Models, Genetic Algorithm, Differential Evolutionary Algorithm, ...
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