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intelligent neuro-fuzzy system model

A Hybrid Intelligent Model for Software Cost Estimation

A Hybrid Intelligent Model for Software Cost Estimation

... Specifically, fuzzy logic and neural networks are capable of effectively dealing with imprecise and uncertain information in addition to the complex, non- linear relationships of ...of fuzzy logic and ...

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Fuzzy Neuro Model for Intelligent Credit Risk Management

Fuzzy Neuro Model for Intelligent Credit Risk Management

... HFNN model developed in this ...the system is being ...input fuzzy set is activated all classification accuracies started to improve particularly the EV samples, which reached 100% accu- racy from ...

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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

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 ...the fuzzy system ...

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Intelligent Security for Phishing Online using Adaptive Neuro Fuzzy Systems

Intelligent Security for Phishing Online using Adaptive Neuro Fuzzy Systems

... The intelligent phishing security approach (IPS) is based on Adaptive neuro-fuzzy inference system (ANFIS), using features from a combined ...well, fuzzy logic deals with reasoning on a ...

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An intelligent architecture of prevention of road accidents by neuro-fuzzy networks

An intelligent architecture of prevention of road accidents by neuro-fuzzy networks

... a neuro-fuzzy architecture that can be used in vehicles for the prevention of road ...the fuzzy logic which provides a modulated warning signal, for a prompt reaction of the ...to model our ...

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Intelligent control for self erecting inverted pendulum via adaptive neuro fuzzy inference system

Intelligent control for self erecting inverted pendulum via adaptive neuro fuzzy inference system

... pendulum system must actuate the pendulum from the stable ...this system, a lot of control techniques have been used on the basis of linearized or nonlinear ...pendulum system has state constraints ...

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Adaptive Neuro-Fuzzy Systems

Adaptive Neuro-Fuzzy Systems

... of fuzzy systems (Zadeh, 1965; Ruspini et ...specify fuzzy sets to partition all variables and a sufficient number of fuzzy rules to describe the input/output relation of the problem at ...a ...

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Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities

Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities

... and intelligent technologies (see also Christoph et ...regression model they showed the significance of relationship between middle output indicators such as behaviour modification and technology ...

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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot

Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot

... TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) were designed and simulated on the TWIP ...

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Design of Intelligent PID Controller for AVR System Using an Adaptive Neuro Fuzzy Inference System

Design of Intelligent PID Controller for AVR System Using an Adaptive Neuro Fuzzy Inference System

... many system identification techniques. First, a parameterized model structure (relating inputs to membership functions to rules to outputs to membership functions, and so on) is ...FIS model to ...

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A Neuro-Fuzzy Based Intelligent System For Diagnosis Of Renal Cancer

A Neuro-Fuzzy Based Intelligent System For Diagnosis Of Renal Cancer

... a model, which is designed to perform various tasks, or operations similar the way as a neuron in human brain ...electronic model that resembles with human brain and tries to do task as it is done by ...

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Implementation of an intelligent 
		temperature to voltage converter using Adaptive Neuro Fuzzy Inference 
		System

Implementation of an intelligent temperature to voltage converter using Adaptive Neuro Fuzzy Inference System

... The intelligent linearization methods overcome the limitations of numerical ...common intelligent linearization methods used are namely artificial neural networks (ANNs) and fuzzy ...to model ...

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Navigational Path Analysis of Mobile Robot in Various Environments

Navigational Path Analysis of Mobile Robot in Various Environments

... an intelligent controller which may provide a general, robust, safe and optimised path so that mobile robot navigate in real world dynamic ...an intelligent controller fuzzy logic and neural network ...

183

An Intelligent System For Forecasting Electric
          Load And Price

An Intelligent System For Forecasting Electric Load And Price

... Adaptive Neuro Fuzzy Inference System (ANFIS) Based short-term load forecasting model which forecast the electric ...This model is derived by modifying the method of forecasting ...

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Modeling reservoir water release decision using adaptive neuro fuzzy inference system

Modeling reservoir water release decision using adaptive neuro fuzzy inference system

... the model (Jothiprakash & Kote, 2011; Kajornrit et ...Adaptive Neuro Fuzzy Inference System ...hybrid intelligent system which combines the fuzzy processing of ...

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Online Full Text

Online Full Text

... FNCAC model in the heterogeneous RATs supporting multimedia traffic is studied pitching upon the call blocking probability by varying the utilization rate of the aggregate traffic and the individual ...the ...

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Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

... of fuzzy logic is the theory of fuzzy sets. In theory of fuzzy sets, the role of the degree of association in a set as the determinant of the existence of fundamental is very ...

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Rainfall-runoff modelling of a watershed

Rainfall-runoff modelling of a watershed

... Adaptive Neuro Fuzzy Inference System (ANFIS) is a fuzzy mapping algorithm that is based on Tagaki-Sugeno-Kang (TSK) fuzzy inference system (Jang et ...and fuzzy logic and ...

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An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

... ANFIS model was a reliable method to predict heavy metal concentrations in water resources with an acceptable degree of robustness and ...adaptive neuro-fuzzy inference system is significant ...

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Predicting the effective stress parameter of unsaturated soils using adaptive neuro-fuzzy inference system

Predicting the effective stress parameter of unsaturated soils using adaptive neuro-fuzzy inference system

... Adaptive Neuro- Fuzzy Inference System (ANFIS) [16] is a combination of FL and ...Takagi-Sugeno-Kang Fuzzy Inference System (TSK-FIS) to a set of input and output ...

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