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A Study on the Correction of Gun Fire Error Using Neural Network

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

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

Multilayer perceptrons trained with the backpropagation algorithm are derived for gun fire control system for miss distance correction and are compared to optimum linear filter based on minimum mean square error [1], [2]. The structure of the proposed neural controller is described and performance results are shown.

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References

  1. Kalman, R.E.: A new approach to linear filtering and prediction problems. Journal of Basic Engineering 82D, 35–44 (1960)

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  2. Corn, R.J.: An analysis of closed loop control of gun systems. System Evaluation Group, Center of Naval Analysis (November 1971)

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  3. Narendra, K.S., Parthasarathy, K.: Identification and control of dynamical systems using neural networks. IEEE Trans. on Neural Networks, 4–21 (1990)

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Author information

Authors and Affiliations

  1. Honam University, Seobong-Dong 59-1, Kwangsan-Gu, Kwang-Ju, 506-714, South Korea

    Yang Weon Lee

  2. Mokwon University, Doan-dong 800, Seo-gu, Daejeon, 302-729, South Korea

    Heau Jo Kang

Authors
  1. Yang Weon Lee
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  2. Heau Jo Kang
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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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Lee, Y.W., Kang, H.J. (2005). A Study on the Correction of Gun Fire Error Using Neural Network. 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 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_49

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  • DOI: https://doi.org/10.1007/11553939_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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