Early Warning of Listed Companies Financial Risk Based on Hybrid Sampling and Back-propagation Neural Network: Evidence from China
Author:
Affiliation:
1. School of Management Studies, Shanghai University of Engineering Science, China
2. School of economics and management, Zhejiang University of Water Resources and Electric Power, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3656766.3656905
Reference23 articles.
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2. Archer, S.H., D'ambrosio, C.A., & Sharpe, W.F. 1972. Business Finance: Theory and Management.
3. Mahtani U. S. & Garg C. P. . 2018. An analysis of key factors of financial distress in airline companies in india using fuzzy ahp framework. Transportation Research Part A: Policy and Practice 117. https://doi.org/10.1016/j.tra.2018.08.016
4. Imitative innovation and financial distress risk: The moderating role of executive foreign experience
5. Choi H. Son H. & Kim C. . 2018. Predicting financial distress of contractors in the construction industry using ensemble learning. Expert Systems with Applications 110(NOV.) 1-10. https://doi.org/10.1016/j.eswa.2018.05.026
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