Danyang Lv graduated from the School of Management of Harbin Institute of Technology in 2020. He specializes in machine learning methods and is eager to make achievements in risk models and model evaluation. His research focuses on the verification of financial crisis early warning models.
A k-means++-improved radial basis function neural network model for corporate financial crisis early warning: an empirical model validation for Chinese listed companies
This paper aims to simplify the early warning model for financial crises by collecting and analyzing the financial data of Chinese special treatment (ST) companies, normally listed companies and cancel special treatment (CST) companies.