Titlebook: Computational Intelligence Applications in Modeling and Control; Ahmad Taher Azar,Sundarapandian Vaidyanathan Book 2015 Springer Internati

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Towards Intelligent Distributed Computing: Cell-Oriented Computing,re vital to banking applications, communication of electronic systems, air traffic control, manufacturing automation, biomedical operation works, space monitoring systems and robotics information systems. As the nature of computing comes to be increasingly directed towards intelligence and autonomy,

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Application of Genetic Algorithms for the Estimation of Ultrasonic Parameters,, then, surveyed showing an ever-spread of employing GA in different applications of US. A GA is, specifically, used to estimate the propagation parameters of US waves in polycrystalline and composite materials for different applications. The objective function of the estimation is the minimization

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A Hybridized Approach for Prioritizing Software Requirements Based on K-Means and Evolutionary Algo a mismatch between ranked requirements and stakeholder’s linguistic ratings. This problem has led many software developers in building systems that eventually fall short of user’s requirements. In this chapter, we propose a new approach for prioritizing software requirements that reflect high corre

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A Monitoring-Maintenance Approach Based on Fuzzy Petri Nets in Manufacturing Systems with Time Cons productivity and quality. This paper proposes a monitoring-maintenance approach based on fuzzy Petri Nets (PN’s) for manufacturing job-shops with time constraints. In such systems, operation times are included between a minimum and a maximum value. In this context, we propose a new fuzzy Petri net

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Box and Jenkins Nonlinear System Modelling Using RBF Neural Networks Designed by NSGAII,often to find a better structure. The choice of the architecture of artificial neural network for a given problem has long been a problem. Developments show that it is often possible to find architecture of artificial neural network that greatly improves the results obtained with conventional method

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Back-Propagation Neural Network for Gender Determination in Forensic Anthropology,l remains. Gender determination is the classification of an individual into one of two groups, male or female. The classification technique most used by anthropologists or researchers is traditional gender determination with applied linear approach, such as Discriminant Function Analysis (DFA). This