Hybrid Intelligent Networks

  • Zhi-Hong Guan
  • Bin Hu
  • Xuemin (Sherman) Shen


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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhi-Hong Guan
    • 1
  • Bin Hu
    • 2
  • Xuemin (Sherman) Shen
    • 3
  1. 1.College of AutomationHuazhong University of Science and TechnologyWuhanChina
  2. 2.Wuhan National Laboratory For OptoelectronicsHuazhong University of Science and TechnologyWuhanChina
  3. 3.Electrical and Computer Engineering DepartmentUniversity of WaterlooWaterlooCanada

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