Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia
Purpose: In the previous study of financial distress prediction, deep learning techniques performed better than traditional techniques over time-series data. This study investigates the performance of deep learning models: recurrent neural network, long short-term memory and gated recurrent unit for...
| 出版年: | Business Process Management Journal |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Emerald Group Holdings Ltd.
2021
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100992258&doi=10.1108%2fBPMJ-06-2020-0273&partnerID=40&md5=409c1e0706a0ed914d03f0771b5b1e69 |