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Fast Time Delay Neural Networks for Detecting DNA Coding Regions

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5711))

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Abstract

In this paper, a new approach for fast information detection in DNA sequence has been presented. Our approach uses fast time delay neural networks (FTDNN). The operation of these networks relies on performing cross correlation in the frequency domain between the input data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented FTDNNs is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science & Information Systems, Mansoura University, Egypt

    Hazem M. El-Bakry

  2. University of Aizu, Aizu, Wakamatsu, Japan

    Mohamed Hamada

Authors
  1. Hazem M. El-Bakry
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  2. Mohamed Hamada
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Editor information

Editors and Affiliations

  1. University of Chile, Republica 701, 8370439, Santiago, Chile

    Juan D. Velásquez  & Sebastián A. Ríos  & 

  2. University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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El-Bakry, H.M., Hamada, M. (2009). Fast Time Delay Neural Networks for Detecting DNA Coding Regions. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-04595-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04594-3

  • Online ISBN: 978-3-642-04595-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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