.png){kind=icon}
返回
Deterministic global optimization for error-in-variables parameter estimation
.png){kind=icon}
PRE
AI
DOI：10.1002/aic.690480607.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Standard techniques for solving the optimization problem arising in parameter estimation by the error-in-variables (EIV) approach offer no guarantee that the global optimum has been found. It is demonstrated here that the interval-Newton approach can provide a powerful, deterministic global optimization methodology for the reliable solution of EIV parameter estimation problems in chemical process modeling, offering mathematical and computational guarantees that the global optimum has been found. Although this methodology is typically regarded as being applicable only to very small problems, it is successfully applied here to problems with over 200 variables. It is a general-purpose technique and is applied here to a diverse group of problems, including examples in reactor modeling, in modeling vapor-liquid equilibrium, and in modeling a heat exchanger network.
Keyword:
VAPOR-LIQUID-EQUILIBRIUM
MODELS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
1.1W
被引数:
2.9W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
分享收藏Vibration Absorber Technology and Conceptual Design of Vibration Absorber for TLP in Ultradeep Water
PREAI
分享收藏分享收藏
查看更多内容