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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Risk Identification Model of Enterprise Strategic Financing Based on Online Learning

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_52,
        author={Xiang Zou and Huishu Yuan},
        title={Risk Identification Model of Enterprise Strategic Financing Based on Online Learning},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Online learning Enterprise strategic financing Financing risk Risk identification Risk matrix Impulse neural network},
        doi={10.1007/978-3-031-28787-9_52}
    }
    
  • Xiang Zou
    Huishu Yuan
    Year: 2023
    Risk Identification Model of Enterprise Strategic Financing Based on Online Learning
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_52
Xiang Zou1,*, Huishu Yuan2
  • 1: School of Accounting and Finance, Wuxi Vocational Institute of Commerce
  • 2: Chengdu College of University of Electronic Science and Technology of China
*Contact email: sln13526@163.com

Abstract

The current financing risk identification model only identifies according to the financial situation of enterprises. The limitations of risk indicators affect the accuracy of identification, and have great limitations for enterprises in different industries. In view of the above problems, this paper will study and build an enterprise strategic financing risk identification model based on online learning. After analyzing the causes of enterprise strategic financing risk, the financing risk identification index system is designed. Based on the structure of impulse neural network, the risk identification model is constructed by using online learning algorithm. The model test results show that the minimum identification accuracy of the model is 92.4%, which has a good risk identification effect for enterprises in different industries.

Keywords
Online learning Enterprise strategic financing Financing risk Risk identification Risk matrix Impulse neural network
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_52
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