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A Kernel Function Based Estimation Algorithm for Multi-layer Soil Structure

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Bio-Inspired Computing and Applications (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6840))

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Abstract

This paper presents an analytic method based estimation scheme to extract soil parameters from the kernel function of integral equation of apparent resistivity. A fast inversion method has been developed for multi-layer earth structure based on the properties of kernel function. The performance of the proposed method has been verified by carrying out a numerical example.

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References

  1. Zhang, B., Cui, X., Li, L., He, J.L.: Parameter Estimation of Horizontal Multilayer Earth by Complex Image Method. IEEE Trans. On Power Delivery 20, 1394–1401 (2005)

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Jeju National University, Korea

    Min-Jae Kang

  2. Department of Electrical Engineering, Jeju National University, Korea

    Chang-Jin Boo & Ho-Chan Kim

Authors
  1. Min-Jae Kang
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  2. Chang-Jin Boo
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  3. Ho-Chan Kim
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, 2522, P.O. Box, North Wollongong, NSW, Australia

    Prashan Premaratne

  4. School of Computer Science and Engineering, Inha University, 402-751, Inchon, Korea

    Kyungsook Han

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© 2012 Springer-Verlag Berlin Heidelberg

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Kang, MJ., Boo, CJ., Kim, HC. (2012). A Kernel Function Based Estimation Algorithm for Multi-layer Soil Structure. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_38

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24552-7

  • Online ISBN: 978-3-642-24553-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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