首页> 外文会议> >A Sequential Neighbor Exploratory Experimental Design Method for Complex Simulation Metamodeling
【24h】

A Sequential Neighbor Exploratory Experimental Design Method for Complex Simulation Metamodeling

机译:复杂仿真元建模的顺序邻域探索性实验设计方法

获取原文
获取原文并翻译 | 示例

摘要

Since complex simulation contains many factors and responses that interact in a nonlinear manner, it is important to use metamodeling for representing the causal relationships within the simulation models in a compact way. With the selected mathematical structure, the effectiveness of metamodeling depends on the comprehensiveness of the training data that is closely related to the size of the scenario space and available computing resources. Generally, sequential experimental design methods are more efficient than one-shot ones, but the later depend on the domain knowledge of the experimenters and are uneasy to be conducted automatically. This paper proposes a sequential neighbor exploratory experimental design (SNEED) method for metamodeling purpose. Through the peaks function example, we compare this new method to Latin hypercube with a support vector regression metamodel trained by their training data respectively. The result shows that under the same experiment sample count, the SNEED method produces better regression performance.
机译:由于复杂的仿真包含许多以非线性方式相互作用的因素和响应,因此使用元模型以紧凑的方式表示仿真模型内的因果关系非常重要。通过选择的数学结构,元建模的有效性取决于训练数据的全面性,而训练数据的整体性与场景空间的大小和可用的计算资源密切相关。通常,顺序实验设计方法比一次性实验方法更有效,但后者取决于实验者的领域知识,并且不容易自动进行。本文提出了一种用于元建模的顺序邻居探索性实验设计(SNEED)方法。通过Peaks函数示例,我们将这种新方法与拉丁超立方体进行了比较,并分别使用了由其训练数据训练的支持向量回归元模型。结果表明,在相同的实验样本数下,SNEED方法具有更好的回归性能。

著录项

  • 来源
    《》|2019年|1-10|共10页
  • 会议地点 Tucson(US)
  • 作者单位

    School of Systems Engineering, National University of Defense Technology, 109, Deya Road, Changsha, Hunan, China;

    School of Systems Engineering, National University of Defense Technology, 109, Deya Road, Changsha, Hunan, China;

    School of Systems Engineering, National University of Defense Technology, 109, Deya Road, Changsha, Hunan, China;

    Arizona Center for Integrative MS, Schl. of Comp., Infor, and Deci. Syst. Engr. Arizona State University, 699 S Mill Ave. Tempe, AZ, 85281, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Design methodology; Metamodeling; Computational modeling; Adaptation models; Time complexity; Data models;

    机译:设计方法论;元建模;计算建模;适应模型;时间复杂度;数据模型;;

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