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neuro-fuzzy approach

A Neuro Fuzzy approach to identify a Hierarchical Fuzzy System for modelling Aviation Pilot Attention

A Neuro Fuzzy approach to identify a Hierarchical Fuzzy System for modelling Aviation Pilot Attention

... Abstract —Attention has been shown to be a predictor of flight performance and, therefore, it is necessary to assess this cognitive ability to evaluate candidate aviation pilots and to verify if the pilot has the ...

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Channel Equaliser for Communication Channel using Neuro Fuzzy Approach

Channel Equaliser for Communication Channel using Neuro Fuzzy Approach

... using neuro- fuzzy ...and fuzzy technology is used to design channel equaliser. Fuzzy logic (FL) provides a mathematical strength for handling the uncertainties associated with the data or ...

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A Neuro-fuzzy approach for user behaviour classification and prediction

A Neuro-fuzzy approach for user behaviour classification and prediction

... a neuro-fuzzy approach for the classification and prediction of user behaviour is ...a Fuzzy Rule Based System (FRBS) and the 360-degree feedback of the ...

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Neuro Fuzzy approach for the predictions of economic crisis

Neuro Fuzzy approach for the predictions of economic crisis

... Neuro-Fuzzy approach for the predictions of economic crisis Giovanis, Eleftherios.[r] ...

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Transmission Dynamics of Malaria in Human Host: a Neuro-Fuzzy Approach

Transmission Dynamics of Malaria in Human Host: a Neuro-Fuzzy Approach

... A neuro-fuzzy approach is proposed for modeling the malaria transmission in a human ...neruo-fuzzy approach to explore the equilibrium ...

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A Neuro Fuzzy Approach in the Prediction of Financial Stability and Distress Periods

A Neuro Fuzzy Approach in the Prediction of Financial Stability and Distress Periods

... A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods Giovanis, eleftheios.[r] ...

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A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

... The Neuro-fuzzy classification is ...the Neuro-fuzzy logic classification is ...classification approach and traditional pixel-based ...

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A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors

A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors

... the neuro-fuzzy model is a result of a hybrid algorithm, a combination of the least squares es- timator and the error back-propagation ...the fuzzy inference ...the fuzzy inference ...

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Neuro-Fuzzy Approach for solvıng communıcatıon Network Problems

Neuro-Fuzzy Approach for solvıng communıcatıon Network Problems

... Fuzzy logic method seems to be the worst in contrast to Anfis at a first look. But of course there are a lot of reasons of getting such results. First of all, the rule size was limited to only fifteen rules while ...

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An adaptive bidding agent for multiple English auctions: a neuro fuzzy approach

An adaptive bidding agent for multiple English auctions: a neuro fuzzy approach

... The agent considers bidding if and only if it is not holding an active bid in an auction or it has not already obtained the good. Assuming neither of these conditions hold, the agent must decide which of the available ...

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Image Based Sign Language Recognition using Neuro   Fuzzy Approach

Image Based Sign Language Recognition using Neuro Fuzzy Approach

... Vision-Based Approach for American Sign Language Recognition has been developed by Jayshree R. Pansare, Maya Ingle [4], using Edge Orientation Histogram feature vector methods. They identified signs of A to Z ...

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A Neuro-Fuzzy Approach to Reactive Power Compensation for Improvement of Transmission Line Performance

A Neuro-Fuzzy Approach to Reactive Power Compensation for Improvement of Transmission Line Performance

... A novel idea of Adaptive Neur0-Fuzzy Inference System has been developed in this thesis to solve the reactive power control problem of the power system. Reactive power is an important parameter in power system ...

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Adaptive Neuro-Fuzzy Approach To Web-Based Enterprise Software Evaluation

Adaptive Neuro-Fuzzy Approach To Web-Based Enterprise Software Evaluation

... hybrid approach called adaptive neuro-fuzzy inference system (ANFIS) by combining fuzzy logic technique and neural network model. The neural network was designed using Tagaki Sugeno inference ...

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Transmission Line Compensation using Neuro-Fuzzy Approach for Reactive Power

Transmission Line Compensation using Neuro-Fuzzy Approach for Reactive Power

... Gallego et al. has been planned capacitor placement problem for the radial distribution networks that describes the capacitor sizes, types, control schemes and locations. Optimal capacitor placement is hard combinatorial ...

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DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS

DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS

... the neuro-fuzzy approach to the development of an automated diagnostic system for cardiovascular ...the neuro-fuzzy system is superior to the INS system using a training data set where ...

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Neural Network Approaches for Software Development Time Estimation: A Review

Neural Network Approaches for Software Development Time Estimation: A Review

... Adaptive Neuro-Fuzzy Approach for Software Development Time ...a Neuro - fuzzy model for software project development ...proposed approach is software development time estimation ...

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A Neuro-Fuzzy based Approach to Software Quality Requirements Prioritization

A Neuro-Fuzzy based Approach to Software Quality Requirements Prioritization

... Kahraman [15] have presented a QFD prioritizing method based on neuro-fuzzy approach for producing the optimal output from multiple standards decision making. In this method, the analytic hierarchy ...

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Neuro Fuzzy based Approach to Predict Component's Reusability

Neuro Fuzzy based Approach to Predict Component's Reusability

... [15] approach was to show that RDF (Reuse Descriptive Formalism) can be used to represent and reuse some more abstract or complex entities like defects, process and projects also other than only as a tool to help ...

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Neuro Fuzzy Inference Approach : A Survey

Neuro Fuzzy Inference Approach : A Survey

... of fuzzy inference system and artificial neural network have attracted the researchers and scholars in various scientific and engineering areas to the growing need of adaptive intelligent ...whereas fuzzy ...

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Article Description

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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