Research on Performance Evaluation System of Manufacturing Listed Companies Based on CNN
Available Online 2 April 2020.
- https://doi.org/10.2991/assehr.k.200331.049How to use a DOI?
- convolutional neural network, key indicators, performance evaluation
- From the perspective of studying and evaluating the operating performance of enterprises, this paper chooses a system including, but not limited to, financial indicators. Based on this, in view of the uncertainty of the coupling between the evaluation indicators, a performance evaluation model of state-owned pillar manufacturing enterprises based on convolutional neural network (CNN) was established. Specific performance data from 2016 to 2018 of many representative companies in China’s listed entity manufacturing industry is selected as training and testing samples for neural networks. Finally, The trained CNN neural network is applied to the current evaluation and simulation prediction of corporate performance. The empirical analysis results in this paper have achieved satisfactory results.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhang Chengwei PY - 2020 DA - 2020/04/02 TI - Research on Performance Evaluation System of Manufacturing Listed Companies Based on CNN BT - 5th International Conference on Social Sciences and Economic Development (ICSSED 2020) PB - Atlantis Press SP - 224 EP - 231 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200331.049 DO - https://doi.org/10.2991/assehr.k.200331.049 ID - Chengwei2020 ER -