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Increasingly, various modern "learning" algorithms such as neural networks are being considered to develop models that essentially map a dependency between the inputs and outputs from known data patterns.
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Two different types of objective functions are considered to develop multiple objective decision making model.
Fourth, human learning solutions are considered to develop individual competences in order to cope with new technological advances.
In this paper, a way to integrate above methods is considered to develop sustainable knowledge collaboration service analysis methodology.
Keeping customer preference in mind ten design characteristics (attributes) and six alternatives are considered to develop the framework.
In this work, three different geometrical properties have been considered to develop a new solar concentrator design for Window Integrated Concentrating Photovoltaic WICPVV).
Two types of input patterns consisting of weather data-based and lagged ETo data-based scenarios were considered to develop the models.
In this article, a planar stabilization platform is considered, to develop and study its kinematic and simple-to-complex dynamic model.
Two popular meta-heuristic algorithms are considered to develop a new elevated hybrid algorithm: the genetic algorithm (GA) and particle swarm optimization (PSO).
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