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An Enterprise Evaluation of Reverse Supply Chain Based on Ant Colony BP Neural Network

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The Sixth International Symposium on Neural Networks (ISNN 2009)

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 56))

Abstract

Evaluation of reverse supply chain enterprises is the an important foundation of the reverse supply chain management. Analysis of the evaluation of the reverse supply chain enterprise comprehensive strength to consider the impact of factors; the establishment of evaluation index system; On this basis, based on ant colony BP neural network of reverse supply chain business model evaluation; describes the reverse supply chain enterprise evaluation. The process through simulation to verify the validity of the model.

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Author information

Authors and Affiliations

  1. College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China

    Ping Li & Xuhui Xia

  2. College of Mathematic and Information Science, Huanggang Normal University, Huanggang, 438000, China

    Ping Li

  3. Beijing Jixiang Digital Wave CO.,LTD, Beijing, 100101, China

    Zhengguo Dai

Authors
  1. Ping Li
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  2. Xuhui Xia
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  3. Zhengguo Dai
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Editor information

Editors and Affiliations

  1. Department of Control Science and Engineering, Huazhong University of Science and Technology, No. 1037, Luoyu Road, 430074, Wuhan, Hubei, China

    Hongwei Wang , Yi Shen  & Zhigang Zeng ,  & 

  2. Texas A&M University at Qatar, PO Box 23874, Doha, Qatar,  

    Tingwen Huang

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© 2009 Springer-Verlag Berlin Heidelberg

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Li, P., Xia, X., Dai, Z. (2009). An Enterprise Evaluation of Reverse Supply Chain Based on Ant Colony BP Neural Network. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_94

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  • DOI: https://doi.org/10.1007/978-3-642-01216-7_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01215-0

  • Online ISBN: 978-3-642-01216-7

  • eBook Packages: EngineeringEngineering (R0)

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