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首页> 外文期刊>Latin American Journal of Solids and Structures >An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method
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An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method

机译:利用双重互易边界元方法的遗传算法在3D模式下定位皮肤肿瘤的逆模型

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摘要

Here, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location and the size of a tumour, having as data input the temperature distribution measured on the skin surface. Given that the objective function, which is solved inversely, involves the DRBEM (Dual Reciprocity Boundary Element Method) the Genetic Algorithm in its usual form becomes slower, in such a way that it was necessary to develop functions based the solution history in order that the process becomes quicker and more accurate. Results for 8 examples are presented including cases with convection and radiation boundary conditions. Cases involving noise in the readings of the equipment are also considered. This technique is intended to assist health workers in the diagnosis of tumours.
机译:在这里,使用双重互易边界元方法求解3D Pennes生物热方程,该方程与遗传算法一起生成了一个逆模型,该模型能够获得肿瘤的位置和大小,并以数据输入来测量温度分布。皮肤表面。假设目标函数反过来涉及DRBEM(双互易边界元方法),则遗传算法的惯常形式会变慢,因此有必要根据求解历史来开发函数,以便过程变得更快,更准确。给出了8个示例的结果,包括具有对流和辐射边界条件的情况。还考虑了在设备读数中涉及噪音的情况。该技术旨在帮助卫生工作者诊断肿瘤。

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