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[PDF] Top 20 Correntropy Based Evolving Fuzzy Neural System

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Correntropy Based Evolving Fuzzy Neural System

Correntropy Based Evolving Fuzzy Neural System

... a correntropy-based evolving fuzzy neural system (correntropy-EFNS) is proposed for approximation of nonlinear ...criterion, correntropy has a strong outliers ... See full document

14

Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud

Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud

... time based on the information at hand. The Enterprise Resource Planning System (ERP) integrates the management of internal and external information across the organization (finance / accounting, ... See full document

7

Sugeno Type Fuzzy Inference Model for Stock Price Prediction

Sugeno Type Fuzzy Inference Model for Stock Price Prediction

... Sugeno- based fuzzy stock prediction system by applying a linear combination of the significant technical indicators as a consequent to predict the stock ...proposed system introduced in this ... See full document

12

Computing air demand using the Takagi–Sugeno model for dam outlets

Computing air demand using the Takagi–Sugeno model for dam outlets

... inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet ...relationships based on the experimental information obtained from physical ... See full document

17

“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

... Research based on various approaches, including Taguchi technique, artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference system (ANFIS), ... See full document

7

Architectures of evolving fuzzy rule based classifiers

Architectures of evolving fuzzy rule based classifiers

... ii) fuzzy rule-based classifiers [6], [7],[39]; iii) decision trees ...iv) neural networks-based [8]; v) support vector machines [9], ... See full document

6

Adaptive and intelligent navigation of autonomous planetary rovers – a survey

Adaptive and intelligent navigation of autonomous planetary rovers – a survey

... of fuzzy cognitive maps (FCM) for a knowledge-based navigation ...the system becomes able to adapt to changes in the environment and successfully avoid ...a neural network, for autonomous ... See full document

8

Title: An Evolving Cascade Neuro-Fuzzy System for Data Stream Fuzzy Clustering

Title: An Evolving Cascade Neuro-Fuzzy System for Data Stream Fuzzy Clustering

... to fuzzy clustering algorithms (which are based on the possibilistic approach [33]) from the conventional probabilistic approach (which underlies the algorithms (1), ... See full document

6

Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor

Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor

... the fuzzy interference system for generating the control fuzzy ...the fuzzy rules base control interference system is automatically ... See full document

10

On hybrid intelligence-based control approach with its application to flexible robot system

On hybrid intelligence-based control approach with its application to flexible robot system

... the fuzzy-based approach and applied to the singular perturbation method for controlling robot flexible arm ...A neural-fuzzy-based structure is proposed to control the target position ... See full document

18

Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

... the Fuzzy Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based Fault Detector ... See full document

11

Development of Hybrid Intrusion Detection System and Its Application to Medical Sensor Network

Development of Hybrid Intrusion Detection System and Its Application to Medical Sensor Network

... your system and network ...computer system is carried out by Intrusion Detection Systems (IDS) and it forms a major portion of system defence against ...Detection System (IDS) based on ... See full document

16

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

... tool based on Neuro Fuzzy approach for software Risk ...Firstly Fuzzy Inference System is created and then Neural Network based three different training algorithms: BR (Bayesian ... See full document

21

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy inference ... See full document

34

Title: LUNG CANCER DIAGNOSIS BY USING FUZZY LOGIC

Title: LUNG CANCER DIAGNOSIS BY USING FUZZY LOGIC

... diagnosis system for lung cancer disease based on fuzzy logic system and neural network, several techniques are used to enhance the lung image and segment it in order to get more ... See full document

10

K.P.MALARKODI et al , International Journal of Computer Science and Mobile Applications,

K.P.MALARKODI et al , International Journal of Computer Science and Mobile Applications,

... In latest centuries, exclusive image handling the tenure swarm intelligence methodology has advanced into unique artificial intelligence arena. It is reinvigorated by swarm insect with the resolve to show cooperative ... See full document

6

Smart Growth Evaluation System based on Fuzzy Theory and Neural Network

Smart Growth Evaluation System based on Fuzzy Theory and Neural Network

... Every influence on child nodes caused by the father notes reflects for the weight vector, we take “the proportion of fuzzy similar matrix method” to calculate the weight vector. We organized experts to compare all ... See full document

6

A Neuro-fuzzy approach for user behaviour classification and prediction

A Neuro-fuzzy approach for user behaviour classification and prediction

... prediction system monitors the his- tory of network/web usage of users and then predicts the behaviour as one of the predefined ...monitoring system that pre- vents users from performing the restricted ... See full document

15

A Constrained Evolving Classifier
for Gearbox Health Monitoring

A Constrained Evolving Classifier for Gearbox Health Monitoring

... An evolving clustering system is a data-driven scheme that can adapt its structure and parameters simultaneously in a gradual and continuous ...a fuzzy system is a universal approximater and ... See full document

7

Deduction of reservoir operating rules for application in global hydrological models

Deduction of reservoir operating rules for application in global hydrological models

... decisions based on experience and often uncertain informa- ...derive fuzzy rules describing the way a reservoir is ...artificial neural network capable of mim- icking fuzzy logic, called the ... See full document

21

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