A Forecasting Performance Evaluation Model for Corporate Social Responsibility Based On Deep Neural Networks

In this work, we develop a mathematical model to show the dynamic evolution process of corporate social responsibility(CSR) with performance evaluation. We study the performance evaluation system of corporate social responsibility in Chinese listed companies from third aspects. The performance evaluation of corporate social responsibility in listed company is divided into five parts, the method of machine learning will be used to determine their weights. Through the deep neural network, we trained the model with the existing data(Chinese Listed Companies in 2016). Numerical results show that the training results are completely effective. In addition, we also scored and classified the training models, and the results showed that they were effective