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Hybrid Intelligent Networks

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Introduction to Hybrid Intelligent Networks

Abstract

In this chapter, a broad but self-contained overview of the terminology of hybrid intelligent network is provided. Section 1.1 first presents a typical hybrid intelligent network, the human brain. It is the brain science and brain-inspired intelligence that motivate the study of hybrid intelligent networks in this book. Section 1.2 generally introduces nonlinear phenomena in nature and engineering, and the hybrid nonlinearity and hybrid intelligence are highlighted. The hybrid intelligent network models are discussed in Sect. 1.3, including hybrid dynamical systems, complex networks, and artificial neural networks. Section 1.4 proposes the basic concepts and methodologies in the field of hybrid intelligent networks that are widely used in for the subsequent chapters. Section 1.5 sketches the overall organization of the book where each chapter is briefly summarized for an overview of the book. Section 1.6 concludes the chapter.

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Notes

  1. 1.

    Hybrid control involves both continuous-time evolution and discrete-time jumps. Please note that the definition of hybrid control is unspecific.

  2. 2.

    Hebbian theory [4].

  3. 3.

    For more information, interested readers may refer to [11,12,13].

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Authors and Affiliations

  1. College of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Zhi-Hong Guan

  2. Wuhan National Laboratory For Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Bin Hu

  3. Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON, Canada

    Xuemin (Sherman) Shen

Authors
  1. Zhi-Hong Guan
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  2. Bin Hu
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  3. Xuemin (Sherman) Shen
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Guan, ZH., Hu, B., Shen, X.(. (2019). Hybrid Intelligent Networks. In: Introduction to Hybrid Intelligent Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-02161-0_1

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  • DOI: https://doi.org/10.1007/978-3-030-02161-0_1

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  • Print ISBN: 978-3-030-02160-3

  • Online ISBN: 978-3-030-02161-0

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