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Research on ecological logistics evaluation model based on BCPSGA-BP neural network

  • Weihui Du
  • Xiaofen ZhouEmail author
  • Changxiang Wang
  • Donglin Rong
Article
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Abstract

The realization of ecological logistics evaluation model based on BCPSGA-BP neural network is beneficial to improve the level of logistics management in China, to achieve the purpose of energy saving and emission reduction, environmental protection and sustainable development. This paper discusses the construction of ecological logistics model through green logistics, agile logistics, lean logistics, reverse logistics, environmental protection logistics, recycling logistics, cleaner production and other logistics forms under the background of electronic commerce, Finally, CPSGA-BP neural network is proposed as an evaluation model to achieve the objective and accurate assessment of the ecological logistics performance model, and provides strong evidence and support for the development of ecological logistics.

Keywords

Ecological logistics BCPSGA-BP Evaluation model 

Notes

Acknowledgements

This work was supported by projects grant from Education Scientific Planning Project in Hubei Province(Grant No.2018GB122).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Weihui Du
    • 1
  • Xiaofen Zhou
    • 1
    Email author
  • Changxiang Wang
    • 1
  • Donglin Rong
    • 2
  1. 1.School of logisticsWuhan Technology and Business UniversityWuhanChina
  2. 2.Faculty of Information EngineeringChina University of GeosciencesWuhanChina

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