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The evaluation of agricultural enterprise's innovative borrowing capacity based on deep learning and BP neural network

Author

Listed:
  • Yingli Wu

    (Northeast Forestry University)

  • Guangji Tong

    (Northeast Forestry University)

Abstract

The purpose is to solve the financing difficulties of agricultural enterprises with the assistance of deep learning and neural network model, improve the overall borrowing ability of enterprises and effectively evaluate enterprise risks. First, the concepts of deep learning and neural network are introduced. On the basis of sorting out and summarizing the existing relevant research, multiple financial indexes are selected as variables, and a risk control model of innovative lending of agricultural enterprises based on back propagation neural network (BPNN) is established. The data of some listed agricultural enterprises are selected for empirical analysis. The performance of the proposed model algorithm is compared with that of the previous model. The results show that the evaluation error of BPNN algorithm is less than 1.8%, and its accuracy is as high as 94.04%. The algorithm shows excellent performance in the training process, the actual output value is very close to the expected value, and can effectively classify related enterprises. The research results can provide reference for solving the loan problem of agricultural enterprises and improving the risk management ability of agricultural enterprises.

Suggested Citation

  • Yingli Wu & Guangji Tong, 2022. "The evaluation of agricultural enterprise's innovative borrowing capacity based on deep learning and BP neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1111-1123, December.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01462-8
    DOI: 10.1007/s13198-021-01462-8
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    References listed on IDEAS

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    1. Xinghe Liu & Enxian Wang & Danting Cai, 2018. "Environmental Regulation and Corporate Financing—Quasi-Natural Experiment Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    2. Jun Han, 2019. "Prioritizing agricultural, rural development and implementing the rural revitalization strategy," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(1), pages 14-19, July.
    3. Xuedong Liang & Xianli Zhao & Min Wang & Zhi Li, 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    4. Gang Chen & James J. Zhang & N. David Pifer, 2019. "Corporate Governance Structure, Financial Capability, and the R&D Intensity in Chinese Sports Sector: Evidence from Listed Sports Companies," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    5. Tesfaye T. Lemma & Arifur Khan & Mohammad Badrul Muttakin & Dessalegn Getie Mihret, 2019. "Is integrated reporting associated with corporate financing decisions? Some empirical evidence," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 27(3), pages 425-443, September.
    6. Khoo, Joye & Cheung, Adrian (Wai Kong), 2021. "Does geopolitical uncertainty affect corporate financing? Evidence from MIDAS regression," Global Finance Journal, Elsevier, vol. 47(C).
    7. Thi Tam Duong & Tom Brewer & Jo Luck & Kerstin Zander, 2019. "A Global Review of Farmers’ Perceptions of Agricultural Risks and Risk Management Strategies," Agriculture, MDPI, vol. 9(1), pages 1-16, January.
    8. Guotai Chi & Shanli Yu & Ying Zhou, 2020. "A Novel Credit Evaluation Model Based on the Maximum Discrimination of Evaluation Results," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(11), pages 2543-2562, September.
    9. Baofeng Shi & Bin Meng & Hufeng Yang & Jing Wang & Wenli Shi, 2018. "A Novel Approach for Reducing Attributes and Its Application to Small Enterprise Financing Ability Evaluation," Complexity, Hindawi, vol. 2018, pages 1-17, January.
    10. Xiangshuo He & Jian Zhang, 2018. "Supplier Selection Study under the Respective of Low-Carbon Supply Chain: A Hybrid Evaluation Model Based on FA-DEA-AHP," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
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