Complex product modeling and optimization based on approximation method

Dongkai Shen; Yaoxing Shang; Hao Wang; Qiang Guan

doi:10.1109/GCIS.2010.94

Complex product modeling and optimization based on approximation method

Dongkai Shen^*
, Yaoxing Shang
, Hao Wang
, Qiang Guan

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a method for complex product modeling based on approximation approach. Kriging models which are very popular for approximating deterministic computer models are used in this paper and different design of experiment (DOE) approaches are compared according to some assessment methods.

Original language	English
Title of host publication	Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Pages	215-218
Number of pages	4
DOIs	https://doi.org/10.1109/GCIS.2010.94
State	Published - 2010
Event	2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 - Wuhan, China Duration: 16 Dec 2010 → 17 Dec 2010

Publication series

Name	Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Volume	3

Conference

Conference	2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Country/Territory	China
City	Wuhan
Period	16/12/10 → 17/12/10

Keywords

Approximation method
Design of experiment
Kriging model
Surrogate model

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10.1109/GCIS.2010.94

Cite this

@inproceedings{f04ad6037a994e6c8e79f40658d4ec5b,

title = "Complex product modeling and optimization based on approximation method",

abstract = "This paper presents a method for complex product modeling based on approximation approach. Kriging models which are very popular for approximating deterministic computer models are used in this paper and different design of experiment (DOE) approaches are compared according to some assessment methods.",

keywords = "Approximation method, Design of experiment, Kriging model, Surrogate model",

author = "Dongkai Shen and Yaoxing Shang and Hao Wang and Qiang Guan",

year = "2010",

doi = "10.1109/GCIS.2010.94",

language = "英语",

isbn = "9780769543048",

series = "Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010",

pages = "215--218",

booktitle = "Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010",

note = "2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 ; Conference date: 16-12-2010 Through 17-12-2010",

}

Shen, D , Shang, Y, Wang, H & Guan, Q 2010, Complex product modeling and optimization based on approximation method. in Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010., 5709359, Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010, vol. 3, pp. 215-218, 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010, Wuhan, China, 16/12/10. https://doi.org/10.1109/GCIS.2010.94

Complex product modeling and optimization based on approximation method. / Shen, Dongkai ; Shang, Yaoxing; Wang, Hao et al.
Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010. 2010. p. 215-218 5709359 (Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Shang, Yaoxing

AU - Wang, Hao

AU - Guan, Qiang

PY - 2010

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N2 - This paper presents a method for complex product modeling based on approximation approach. Kriging models which are very popular for approximating deterministic computer models are used in this paper and different design of experiment (DOE) approaches are compared according to some assessment methods.

AB - This paper presents a method for complex product modeling based on approximation approach. Kriging models which are very popular for approximating deterministic computer models are used in this paper and different design of experiment (DOE) approaches are compared according to some assessment methods.

KW - Approximation method

KW - Design of experiment

KW - Kriging model

KW - Surrogate model

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DO - 10.1109/GCIS.2010.94

M3 - 会议稿件

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SN - 9780769543048

T3 - Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010

SP - 215

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BT - Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010

T2 - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010

Y2 - 16 December 2010 through 17 December 2010

ER -

Complex product modeling and optimization based on approximation method

Abstract

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Conference

Keywords

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