聚类牛顿法在药代动力学反参数辨识中的高效迭代方法

Tran Quang-Huy, Van Tu Duong, Nguyen Canh Minh, Nguyễn Thị Hoàng Yến, Tien-Anh Nguyen, Duc-Tan Tran
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引用次数: 1

摘要

在本文中,我们提出了一种高效的迭代过程,用于初始聚类牛顿法(CNM)中,同时寻求药代动力学反参数辨识的多个解。与初始CNM中的恒定扰动水平不同,在不同的迭代中控制合理的扰动水平。仿真结果表明,该方案可以减少迭代次数和计算时间;点簇更稳定地向解流形移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Iteration Procedure for the Cluster Newton Method in Inverse Parameter Identification of Pharmacokinetics
In this paper, we proposed an efficient iteration procedure, being used in the initial cluster Newton method (CNM) to seek multiple solutions for inverse parameter identification in pharmacokinetics simultaneously. Instead of the constant level of perturbation in the initial CNM, the reasonable level of perturbation is controlled corresponding to different iterations. The simulation results of the proposed scheme have pointed out that we can reduce iterations and computational time; the point cluster goes more stably towards the solution manifold.
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