hybrid neuro-fuzzy model
Analysis and Synthesis of Multiband Sierpinski Carpet Fractal Antenna Using Hybrid Neuro-Fuzzy Model
... any hybrid neuro-fuzzy model, first the dataset is generated using mathematical analysis, simulation or ...the hybrid neuro-fuzzy model. The model tunes ...
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HYBRID FUZZY-NEURO MODEL FOR CREDIT RISK ANALYSIS USING A NOVEL RULE PRUNING METHOD
... A rule pruning procedure for all length fuzzy rules was proposed in this work and it worked well in reducing the rule base and its complexity. From the experimental results obtained it is clear that the proposed ...
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Fuzzy Neuro Model for Intelligent Credit Risk Management
... presents hybrid fuzzy logic and neural network algorithm to solve credit risk management ...using hybrid fuzzy logic-neural network (HFNN) model. The model will be implemented, ...
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LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS
... the model of hybrid power system is ...the hybrid power system is the objective of Automatic Generation Control ...called Fuzzy PI and Neuro- Fuzzy approach. The advantage of ...
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Image Denoising Using A New Hybrid Neuro-Fuzzy Filtering Technique
... while fuzzy systems become capable of learning. Indeed, Neuro-Fuzzy (NF) systems offer the ability of neural networks to learn from examples and the capability of fuzzy systems to model ...
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A Hybrid AI approach based on Genetic Algorithm and ANFIS for Heart Disease Diagnosis
... a hybrid combination of artificial neural networks and fuzzy logic that combines the advantages such as adaptability property from neural networks and smoothness property from fuzzy ...ANFIS ...
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate dc link voltage ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... a hybrid technique for the classification of MRI human brain ...proposed hybrid technique consists of three stages namely feature extraction, feature reduction and ...a hybrid Neuro- ...
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Image Restoration using Hybrid Neuro- Fuzzy Filter
... Jian Ji & Yang Li (2016) presented the Synthetic aperture radar (SAR) image denoising. The basis of SAR image can be estimated by Independent component analysis and these bases can be divided into two different ...
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Article Description
... hand fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always ...available. Fuzzy logic technique needs less convergence time but it depends on trial and error ...
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Multidimensional Dynamic Modeling of Milk Ultrafiltration Using Neuro-Fuzzy Method and a Hybrid Physical Model
... In this study an alternative dynamic neuro-fuzzy model for milk ultrafiltration that describes the variation in dynamic permeate flux decline with temperature, transmembrane pressure ([r] ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy logic based system in the form of parallel ...cooperative neuro-fuzzy architectures, the neural networks and fuzzy logic system work ...of hybrid neural-fuzzy systems ...
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Developing a Neuro Fuzzy Model for Weather Prediction
... other hybrid systems proposed such as Neuro-Expert [KB-NN], Neuro-Genetic [NG], Neuro-Fuzzy [NF] and Fuzzy-Genetic [FG] ...the fuzzy variables involved. On other words, to ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... efficient model for accuracy improvement and software effort estimation ...proposed model is based on using type-2 fuzzy ...type-2 fuzzy logic, the gradient descent method and the ...
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Portfolio Investment Model Using Neuro Fuzzy System
... control model that includes ecological and economic uncertainty for managing both types of natural ...programming model to determine capital allocations to international markets and the selection of assets ...
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Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System
... and neuro-fuzzy system are widely used as forecasting approaches and have good forecasting performance ...the neuro-fuzzy systems, time series and using the wavelet packet transform to explore ...
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Comparative Analysis Of Neuro-Fuzzy Model For Human Resources
... the Fuzzy by using the weights from fuzzy in Phase two into the expected value of Phase ...with fuzzy issues with more comprehensible method because of the expertise of interval sort fuzzy ...
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Analysis of Advanced Controllers for Temperature Control in a Heat Exchanger
... PID controller is the most used controller because it is simple to operate and very robust. The latest implemented PID controller is based on a direct digital design. These digital PID has many algorithms to develop ...
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Development of an Expert System for Message Routing in a Switched Network Environment
... Arnold et al ([A+97]) make use of fuzzy reasoning method to make decisions as regards data routing. According to Arnold, there is need for an improved method that can handle imprecise information though the use of ...
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Evaluating the Creditworthiness of a Client in the Insurance Industry Using Adaptive Neuro-Fuzzy Inference System
... proposed model differs from the current approaches primarily thanks to its complex, systematic and hierarchical ability to evaluate the new identified factors related to a client’s creditworthiness as fuzzy ...
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