| 查看: 165 | 回复: 1 | ||
| 本帖产生 1 个 ，点击这里进行查看 | ||
[求助]
论文是否被CPCI检索，谢谢
|
||
| A Computational Method for Sensitivity Analysis under Uncertainty |
回复此楼» 猜你喜欢
如果此刻你正在为国基感到焦虑，不妨来听听这首《基金之外》
已经有6人回复
-
我面上完蛋了
已经有10人回复
-
能否退出参与的面上项目解除限项
已经有24人回复
-
filecode，4个jtjc了
已经有17人回复
-
人气不行了
已经有9人回复
-
没有任何消息-是不是就凉了
已经有6人回复
-
2026国自然函评费到账
已经有19人回复
-
建议基金发布提前给出明确的时间点
已经有16人回复
-
今日不放榜？网传国自然预计 8 月 27 日可查结果
已经有21人回复
-
估计是周四
已经有4人回复
lazy锦溪
版主 (知名作家)
- 应助: 155 (高中生)
- 贵宾: 2.371
- 金币: 26119.4
- 散金: 15360
- 红花: 181
- 沙发: 15
- 帖子: 5537
- 在线: 1929.5小时
- 虫号: 2046157
- 注册: 2012-10-06
- 性别: GG
- 专业: 功能与智能高分子
- 管辖: 检索知识
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
cqwhch: 金币+20, ★★★★★最佳答案, 谢谢！！！！！！！！ 2016-08-30 21:47:31
心静_依然: LS-EPI+1, 感谢应助 2016-08-30 22:28:44
感谢参与，应助指数 +1
cqwhch: 金币+20, ★★★★★最佳答案, 谢谢！！！！！！！！ 2016-08-30 21:47:31
心静_依然: LS-EPI+1, 感谢应助 2016-08-30 22:28:44
|
A Computational Method for Sensitivity Analysis under Uncertainty 作者:Wang, HC (Wang, Hongchun)[ 1 ] 编者:Yingying, S; Guiran, C; Zhen, L PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) 丛书: Advances in Intelligent Systems Research 卷: 117 页: 326-330 出版年: 2015 会议名称 会议: International Conference on Logistics Engineering, Management and Computer Science (LEMCS) 会议地点: Shenyang, PEOPLES R CHINA 会议日期: JUL 29-31, 2015 摘要 Sensitivity analysis (SA) is an important part in engineering design under the uncertainty to provide valuable information about the probabilistic characteristics of a response. In this paper, the variance-based methods and the cumulative distribution function (CDF)-based sensitivity coefficients were used in sensitivity analysis. The combination of sparse grid stochastic collocation (SC) and the generalized polynomial chaos (gPC) are proposed as a method to perform the sensitivity analysis. The computational method employs the gPC as a high-order representation for random quantities, a stochastic collocation (SC) approach to deal with complex/implicit response functions, and sparse grid to use a reduced set of samples. It can reduce the computational cost associated with uncertainty assessment without much sacrifice on the optimum solution. The effectiveness is demonstrated in two numerical examples. 关键词 作者关键词:Generalized Polynomial Chaos; Sensitivity Analysis; Stochastic Collocation; Sensitivity Coefficient; Uncertainty KeyWords Plus  IFFERENTIAL-EQUATIONS作者信息 通讯作者地址: Wang, HC (通讯作者) Chongqing Normal Univ, Dept Math, Chongqing, Peoples R China. 地址: [ 1 ] Chongqing Normal Univ, Dept Math, Chongqing, Peoples R China 电子邮件地址:springwhch@126.com 出版商 ATLANTIS PRESS, 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE 类别 / 分类 研究方向:Computer Science; Business & Economics; Operations Research & Management Science Web of Science 类别:Computer Science, Artificial Intelligence; Management; Operations Research & Management Science 文献信息 文献类型  roceedings Paper语种:English 入藏号: WOS:000373107000063 ISBN:978-94-6252-102-5 ISSN: 1951-6851 其他信息 IDS 号: BE5OK Web of Science 核心合集中的 "引用的参考文献": 11 Web of Science 核心合集中的 "被引频次": 0 |
2楼2016-08-30 21:39:17
