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A Cognitive Model of Morphological Neural Network

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Intelligent Computing Theories and Application (ICIC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12463))

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Abstract

In this paper, a morphological neural network (MNN) cognitive tree model related to multi disciplines is proposed. The model has four layers: soil layer, primary layer, growth layer and presentation layer. Through the study of MNN at different levels, the cognitive function and mechanism of MNN are profoundly revealed, and the theoretical framework of MNN cognition is established. This paper can be seen as an example of multi-disciplinary crossover and fusion research, which not only helps to improve the understanding of MNN itself, but also brings some inspirations to promote the interdisciplinary research and coordinated development of computer science, artificial intelligence, neurobiology, cognitive psychology and so on.

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Acknowledgements

This work is supported by the Henan Province’s Key R&D Project (Grant No. 192102310217), the science and technology research project of Zhengzhou city (Grant No. 153PKJGG153), the Key Research Project of Zhengzhou University of Industrial Technology (Grant No. JG-190101), the Key Scientific Research Projects of Higher Education Institutions of Henan Province (Grant No. 20A520039), and the Training Project of Young Backbone Teachers of Henan Province (Grant No. 2019GGJS279).

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Authors and Affiliations

  1. Zhengzhou University of Industrial Technology, Zhengzhou, 451150, China

    Naiqin Feng, Lijuan Qin & Bin Sun

  2. Henan Normal University, Xinxiang, 453007, China

    Naiqin Feng

Authors
  1. Naiqin Feng
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  2. Lijuan Qin
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  3. Bin Sun
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Corresponding author

Correspondence to Naiqin Feng .

Editor information

Editors and Affiliations

  1. Institute of Machine Learning and Systems Biology, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Feng, N., Qin, L., Sun, B. (2020). A Cognitive Model of Morphological Neural Network. In: Huang, DS., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2020. Lecture Notes in Computer Science(), vol 12463. Springer, Cham. https://doi.org/10.1007/978-3-030-60799-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-60799-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60798-2

  • Online ISBN: 978-3-030-60799-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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