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On the model identification of an incubator based on genetic algorithms

机译:基于遗传算法的孵化器模型辨识

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The aim of this paper is the modeling of the heating problem inside an incubator for newborns. The considered incubator has been offered by the neonatology center of the Universitary Hospital of Sfax; Tunisia. Two models has been identified. The first one is continuous and the second one is discrete. Parameters of these models have been optimised by genetic algorithms. Because of the non linearity of the model, two phases have been considered: the heating phase for an increasing of the temperature and the cooling phase for a decreasing of the temperature. Obtained models have been validated experimentally.
机译:本文的目的是对新生儿保育箱内部的加热问题进行建模。斯法克斯大学医院新生儿科中心提供了可以考虑使用的培养箱。突尼斯。已经确定了两个模型。第一个是连续的,第二个是离散的。这些模型的参数已通过遗传算法进行了优化。由于模型的非线性,已考虑了两个阶段:用于增加温度的加热阶段和用于降低温度的冷却阶段。获得的模型已通过实验验证。

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