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Modeling of Nonlinear Static System Via Neural Network Based Intelligent Technology

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

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Abstract

Modeling of nonlinear static system using neural network based intelligent technology is presented in this paper. The architecture of the intelligent system is combined neural network with polynomial neural network. The composite architecture is designed to get a heuristic approximation method for nonlinear static system modeling. Owing to the approximation capabilities, neural networks have been widely utilized to process modeling, whereas the polynomial neural network is an analysis technique for identifying nonlinear relationships between inputs and outputs of the target system. So the hybrid architecture can harmonize the advantages of the each modeling methodology. Simulation results of the intelligent technology will be shown efficient and good performance.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul, 136-701, Korea

    Dong-Won Kim & Gwi-Tae Park

  2. Department of Control System Engineering, Mokpo National University, 61, Torim-ri, Chonggye-myon, Muan-gun, Chonnam, Korea

    Jang-Hyun Park

  3. Department of Electrical & Electronic Engineering, Anyang University, 708-113, Anyang 5dong, Manan-gu, Anyang-shi, Kyunggi-do, 430-714, Korea

    Sam-Jun Seo

Authors
  1. Dong-Won Kim
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  2. Jang-Hyun Park
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  3. Sam-Jun Seo
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  4. Gwi-Tae Park
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, DW., Park, JH., Seo, SJ., Park, GT. (2005). Modeling of Nonlinear Static System Via Neural Network Based Intelligent Technology. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_28

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  • DOI: https://doi.org/10.1007/11552451_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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