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An Improved Neural Networks Algorithm

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International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 (ATCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1017))

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Abstract

According to the basic principle, implementation process and calculation characteristics of the algorithm, a new method to improve the convergence rate of the algorithm was proposed. The improved algorithm is applied to several typical neural network samples, and the results show that the overall training speed of the improved algorithm is obviously improved.

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Author information

Authors and Affiliations

  1. Changchun Institute of Technology, Changchun, 130021, China

    Zhang Cheng

Authors
  1. Zhang Cheng
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Corresponding author

Correspondence to Zhang Cheng .

Editor information

Editors and Affiliations

  1. Faculty of Science, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Shanghai University, Shanghai, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Cheng, Z. (2020). An Improved Neural Networks Algorithm. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_106

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