Empirical Research on Financial Risk Identification of Chinese Listed Companies Based on SOM Neural Network Model

机译：基于SOM神经网络模型的中国上市公司财务风险识别的实证研究

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper aims at applying Selforganizing Feature Map neural network algorithm on the research of Chinese listed company’s financial risk identification and finally obtains good empirical results by taking 100 companies in China's Shanghai and Shenzhen stock markets from 2010 to 2011 as study samples.The results show that the Self-organizing Feature Map neural network algorithm is an appropriate method to identificate the financial risk of Chinese listed company.The analysis of empirical results is consistent with the actual situation.

机译：本文旨在应用自动化特征图神经网络算法关于中国上市公司的财务风险识别研究，最终通过从2010年到2011年在2010年至2011年以2010年到2010年以2010年以2010年担任中国的100家公司获得了良好的经验结果。结果表明自组织特征图神经网络算法是一种适当的方法，以确定中国上市公司的财务风险。对实证结果的分析与实际情况一致。

著录项

来源
《International conference on financial risk and corporate finance management》|2013年||共4页
会议地点
作者
LI Guangrong; NIU Xiuhong;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类公司;
关键词
financial risk; listed company; neural network; SOM algorithm;

机译：金融风险;上市公司;神经网络;SOM算法;

相似文献

外文文献
中文文献
专利

1. A k-means++-improved radial basis function neural network model for corporate financial crisis early warning: an empirical model validation for Chinese listed companies [J] . Lv Danyang, Wu Chong, Dong Linxiao The Journal of Risk Model Validation . 2020,第3期

机译：K-Means ++ - 改进了公司金融危机的神经网络模型预警：中国上市公司的实证验证
2. Empirical Study on Financial Risk Warning in Chinese Listed Steel Companies Based on Eva [J] . Hong-Bo Wang, Xiao-Qing Li, Feng-Ru Xi Journal of Applied Sciences . 2013,第21期

机译：基于EVA的中国钢铁上市公司财务风险预警实证研究
3. Research On The Relationship Among Over-investment, Audit Quality And Corporate Risk Of Listed Companies Based On Big Data——Based on the Empirical data of listed companies in China [J] . Zhao Tiantian E3S Web of Conferences . 2021,第a期

机译：基于大数据的上市公司的过度投资，审计质量和企业风险关系研究 - 基于中国上市公司的经验数据
4. Empirical Research on Financial Risk Identification of Chinese Listed Companies Based on SOM Neural Network Model [C] . LI Guangrong, NIU Xiuhong International conference on financial risk and corporate finance management . 2013

机译：基于SOM神经网络模型的中国上市公司财务风险识别的实证研究
5. Structured neural networks: Biased empirical models for system identification. [D] . Psichogios, Dimitris Christos. 1993

机译：结构化神经网络：用于系统识别的有偏经验模型。
6. Prediction model for the risk of osteoporosis incorporating factors of disease history and living habits in physical examination of population in Chongqing Southwest China: based on artificial neural network [O] . Yuqi Wang, Liangxu Wang, Yanli Sun, 2021

机译：骨质疏松症的风险预测模型缺乏疾病史史管植物习惯因素以重庆省西南地区人口人口综合：基于人工神经网络
7. Salary Incentives, Corporate Risk Exposure and Financial Investment Based on the Empirical Data of China's A-share Listed Companies [O] . Wenshan Tang 2019

机译：基于中国A股上市公司的实证数据的薪酬激励，企业风险曝光和金融投资

Empirical Research on Financial Risk Identification of Chinese Listed Companies Based on SOM Neural Network Model

摘要

著录项

相似文献

相关主题

期刊订阅