Self Organizing Maps, Pattern Recognition and Financial Crises

S. Barthélémy, Pascal Devaux, F. Faure, Matthieu Pautonnier
{"title":"Self Organizing Maps, Pattern Recognition and Financial Crises","authors":"S. Barthélémy, Pascal Devaux, F. Faure, Matthieu Pautonnier","doi":"10.2139/ssrn.2168795","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to present preliminary results of an ongoing research on vulnerable pattern recognition for predicting economic and financial crises in developing countries. This research has been conducted in close cooperation between TAC & BNP Paribas. But the views expressed are those of the authors and do not necessarily reflect the position of TAC or BNP Paribas.","PeriodicalId":114865,"journal":{"name":"ERN: Neural Networks & Related Topics (Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Neural Networks & Related Topics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2168795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The aim of this paper is to present preliminary results of an ongoing research on vulnerable pattern recognition for predicting economic and financial crises in developing countries. This research has been conducted in close cooperation between TAC & BNP Paribas. But the views expressed are those of the authors and do not necessarily reflect the position of TAC or BNP Paribas.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自组织地图,模式识别和金融危机
本文的目的是介绍一项正在进行的脆弱模式识别研究的初步结果,以预测发展中国家的经济和金融危机。这项研究是在TAC和法国巴黎银行的密切合作下进行的。但所表达的观点是作者的观点,并不一定反映TAC或法国巴黎银行的立场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detecting Edgeworth Cycles Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs Improve the Prediction of Wind Speed using Hyperbolic Tangent Function with Artificial Neural Network Using Deep Q-Networks to Train an Agent to Navigate the Unity ML-Agents Banana Environment What Can Analysts Learn from Artificial Intelligence about Fundamental Analysis?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1