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Industrial Connection Analysis and Case Study Based on Theory of Industrial Gradient

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5553))

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Abstract

The difference and imbalance of regional economic development is an objective fact existed in the process of the socio-economic development. Giving an example of Wuhan city circle, the paper calculates and analyzes industrial gradient based on theory of industrial gradient. According to the characteristics of industries, the relevant industrial connection patterns are proposed, which provides the theoretical foundation for making development policy of regional industries.

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References

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Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, 43007, China

    Zhi Yang, Wei Zeng, Hongtao Zhou, Ying Li & Qi Fei

Authors
  1. Zhi Yang
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  2. Wei Zeng
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  3. Hongtao Zhou
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  4. Ying Li
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  5. Qi Fei
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, SD 57701, Rapid City, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Yang, Z., Zeng, W., Zhou, H., Li, Y., Fei, Q. (2009). Industrial Connection Analysis and Case Study Based on Theory of Industrial Gradient. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_125

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  • DOI: https://doi.org/10.1007/978-3-642-01513-7_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01512-0

  • Online ISBN: 978-3-642-01513-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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