Open AccessDesign of Financial Early Warning System Based on Elman_Adaboost Algorithm
Author(s) -
Guoqiang Wu,
Qingping Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1634/1/012050
Subject(s) - warning system , relevance (law) , computer science , finance , software , early warning system , financial risk , function (biology) , financial crisis , adaboost , algorithm , artificial intelligence , business , economics , operating system , telecommunications , evolutionary biology , political science , classifier (uml) , law , biology , macroeconomics
This article analyzes the relevance of the Elman_Adaboost algorithm and combines the design points of the financial early warning system. This article includes data integration platform design, operating system platform design, data warehouse platform design, system integration platform design, system logic structure design, system software function design, financial warning level division, financial risk warning situation division, etc. The author of this paper continuously improves the financial information system, the financial risk responsibility system, etc. The purpose of this article is to improve the practicality of the financial early warning system and lay the foundation for the stable development of the enterprise economy.