Financial Risk Assessment of Listed Companies in Environmental Protection Industry Based on Self-Organizing Neural Network

DOI

10.2991/icsser-18.2018.57How to use a DOI?

Keywords

Listed company; Self-organizing neural network; Environmental protection industry; Financial risk assessment

Abstract

In China's securities market, the number of companies in financial difficulties is increasing, which has caused very serious losses and consequences for all parties. This paper takes 25 listed companies of environmental protection industry in Shanghai and Shenzhen in 2016 as research object, and uses self-organizing neural network clustering algorithm to cluster. According to the clustering results, it analyzes and discusses the financial risk issues of various environmental protection companies, and explores new ideas for corporate financial risk research from the perspective of data mining. The empirical results show that the enterprise financial risk research system of self-organizing neural network model has good analytical ability and effective samples classification, and can avoid the disadvantages of K-means method in order to give the number of clusters in advance.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongji Wang
AU  - Jianhua Zhu
PY  - 2018/10
DA  - 2018/10
TI  - Financial Risk Assessment of Listed Companies in Environmental Protection Industry Based on Self-Organizing Neural Network
BT  - Proceedings of the 2018 International Conference on Social Science and Education Reform (ICSSER 2018)
PB  - Atlantis Press
SP  - 240
EP  - 244
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsser-18.2018.57
DO  - 10.2991/icsser-18.2018.57
ID  - Wang2018/10
ER  -