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Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks

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Advances in Neural Networks – ISNN 2013 (ISNN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7951))

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Abstract

This paper considers the convergence of chaos injection-based backpropagation algorithm. Both the weak convergence and strong convergence results are theoretically established.

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Author information

Authors and Affiliations

  1. Research Center of Information and Control, Dalian University of Technology, Dalian, 116024, China

    Huisheng Zhang & Xiaodong Liu

  2. Department of Mathematics, Dalian Maritime University, Dalian, 116026, China

    Huisheng Zhang & Xiaodong Liu

  3. College of Science, Harbin Engineering University, Harbin, 150001, China

    Dongpo Xu

Authors
  1. Huisheng Zhang
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  2. Xiaodong Liu
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  3. Dongpo Xu
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Editor information

Editors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, A 530, Chuangxinyuan Building, 116023, Dalian, China

    Chengan Guo

  2. Institute of Automation, Chinese Academy of Sciences, 100864, Beijing, China

    Zeng-Guang Hou

  3. School of Automation, Huazhong University of Science and Technology, 430074, Wuhan, China

    Zhigang Zeng

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, H., Liu, X., Xu, D. (2013). Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39065-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-39065-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39064-7

  • Online ISBN: 978-3-642-39065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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