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Classic Types of Surrogate Models

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Surrogate Model-Based Engineering Design and Optimization

Part of the book series: Springer Tracts in Mechanical Engineering ((STME))

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Abstract

The polynomial response surface (PRS) methodology is a statistical technique that uses regression analysis and analysis of variance to determine the relationship between design variables and responses. A linear polynomial is used to approximate the implicit limit state equation. The coefficients of the linear polynomial are determined through experimental design.

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References

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Author information

Authors and Affiliations

  1. The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Ping Jiang

  2. School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Qi Zhou

  3. The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Xinyu Shao

Authors
  1. Ping Jiang
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  2. Qi Zhou
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  3. Xinyu Shao
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Corresponding author

Correspondence to Ping Jiang .

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Jiang, P., Zhou, Q., Shao, X. (2020). Classic Types of Surrogate Models. In: Surrogate Model-Based Engineering Design and Optimization. Springer Tracts in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-0731-1_2

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  • DOI: https://doi.org/10.1007/978-981-15-0731-1_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0730-4

  • Online ISBN: 978-981-15-0731-1

  • eBook Packages: EngineeringEngineering (R0)

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