...
首页> 外文期刊>Biocybernetics and biomedical engineering >Determination of the difference between two complex polymer models simulating the behaviour of biological structures
【24h】

Determination of the difference between two complex polymer models simulating the behaviour of biological structures

机译:模拟生物结构行为的两个复合聚合物模型的差异的测定

获取原文
获取原文并翻译 | 示例

摘要

This article presents research conducted on various polymer models imitating biological structures. Tests were conducted using a newly developed research method described in W. The purpose of our research was to check if the measuring system [1] is able to distinguish multilayer samples. Test materials were two different polymer models which were subjected to pressure in the central point. Marked points on the external surface of the sample were followed during the measurement. The arrangement of points on the image allowed to reconstruct the 3D surface of the sample and to determine the displacement of the analysed points. Measurements were repeated 10 times to ensure the representativeness (credibility) of the conducted research. Statistical tests and artificial neural networks (ANN) were used to classify the examined samples. We used 5-fold cross-validation for training and validating the ANN. The entire set of 75 cases was divided into 5 equinumerous subsets. The obtained results suggest that the proposed method distinguished between the tested samples on the basis of results. Analysed materials react differently to the given mechanical factor. (C) 2019 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved.
机译:本文介绍了在模仿生物结构的各种聚合物模型上进行的研究。使用W中描述的新开发的研究方法进行了测试。我们的研究目的是检查测量系统是否能够区分多层样本。试验材料是两种不同的聚合物模型,其在中心点进行压力。在测量期间,遵循样品的外表面上的标记点。图像上的点的布置允许重建样本的3D表面并确定分析的点的位移。测量重复10次以确保进行的研究的代表性(可信度)。使用统计测试和人工神经网络(ANN)来分类检查的样本。我们使用了5倍的交叉验证进行培训和验证ANN。整套75例案例分为5个等素等的子集。所获得的结果表明,该方法基于结果的测试样本区分开来。分析材料与给定的机械因子不同。 (c)2019年纳雷斯州博士科学学院生物医学研究所。 elsevier b.v出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号