自组织地图，模式识别和金融危机

ERN: Neural Networks & Related Topics (Topic) Pub Date : 2011-05-25 DOI:10.2139/ssrn.2168795

S. Barthélémy, Pascal Devaux, F. Faure, Matthieu Pautonnier

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引用次数: 1

摘要

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。

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Self Organizing Maps, Pattern Recognition and Financial Crises

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.

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ERN: Neural Networks & Related Topics (Topic)

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