Skip to main content
  • 476 Accesses

Abstract

Many geotechnical engineering problems rely on the use of empirical methods expressed in the form of equations or design charts, to determine the response of the system to input variables, which is generally referred to as the surrogate model or metamodel (metaheuristics).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • MacKay DJ (1998) Introduction to Gaussian processes. In Neural Networks and Machine Learning, volume 168 of NATO advanced study institute on generalization in neural networks and machine learning. Springer, pp 133–165

    Google Scholar 

  • Montgomery DC, Peck EA (1992) Introduction to linear regression analysis. Wiley, New York

    MATH  Google Scholar 

  • Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representation by error propagation. In: Rumelhart DE, McClelland JL (eds) Parallel distributed processing, vol 1. MIT Press, Cambridge, pp 318–362

    Google Scholar 

  • Shahin MA, Jaksa MB, Maier HR (2008) State of the art of artificial neural networks in geotechnical engineering. Electron J Geotech Eng 8:1–26

    Google Scholar 

  • Stenwart I, Christmann A (2008) Support vector machines. Springer, New York

    Google Scholar 

  • Tipping ME (2001) Sparse Bayesian learning and the relevance vector machine. J Mach Learn Res 1(Jun):211–244

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wengang Zhang .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Science Press and Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zhang, W. (2020). Introduction. In: MARS Applications in Geotechnical Engineering Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7422-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7422-7_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7421-0

  • Online ISBN: 978-981-13-7422-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics