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150.605  Articles
1 of 15.061 pages  |  10  records  |  more records»
The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data f... see more

Purpose: Heart failure is a disease that is still a global threat and plays a major role as the number one cause of death worldwide. Therefore, accurate predictions are needed to determine the survival of heart failure patients. One technique that can be ... see more

In this work the evolving neuro-fuzzy system with kernel activation function that contains fuzzy support vector machine, normalized radial basis function neural network and general regression neuro-fuzzy network as subsystems is proposed. This network is ... see more

An evolving cascade system based on fuzzy-neurons and its learning procedures are proposed in the paper. During a learning procedure inan online mode, the proposed system tunes both its parameters and its architecture. Neuro-fuzzy systems are proposed as ... see more

Issues on detecting the occurrence of a fault, justifying the type, and estimating the exact location of the fault should be resolved to eliminate faults promptly and restore power supply with minimum interruption. Conventional approaches have contributed... see more

This article investigates the use of a clustered based neuro-fuzzy system to nonlinear dynamic system modeling. It is focused on the modeling via Takagi-Sugeno (T-S) modeling procedure and the employment of fuzzy clustering to generate suitable initial me... see more

The existing literature predominantly concentrates on the utilization of the gradient descent algorithm for control systems’ design in power systems for stability enhancement. In this paper, various flavors of the Conjugate Gradient (CG) algorithm have be... see more

A useful routing system should have the capability of supporting the driver effectively in deciding on an optimum route to his preference. This paper describes the problem of choice of road route under conditions of uncertainty which drivers are faced wit... see more

A neuro-fuzzy based improved internal model control (I-IMC) is proposed for speed control of uncertain nonlinear heavy duty vehicle (HDV) as the standard IMC (S-IMC) can’t tackle the nonlinear systems effectively and degrades the performance of ... see more

1 of 15.061 pages  |  10  records  |  more records»