Technology Program Financial Forecast Model Based on CACO-SVM

Author

Yuan, Xiu-e ; Zou, Yu

Author_Institution

Dept. of Bus. Adm., North China Electr. Power Univ., Baoding

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

Accompany by the rapid changes of the world, the funds on technology programs invested by the country are increasing year by year with the growing demand. This paper introduces the theory of continuous ant colony optimization algorithms and support vector machine to analyze, predicts the financial situation of enterprises and sets up the financial forecast model CACO-SVM. Financial datas of some companies are used to train and test this arithmetic, and the results show that this model is feasible and practicable.

Keywords

economic forecasting; financial data processing; forecasting theory; optimisation; support vector machines; CACO-SVM; ant colony optimization algorithms; financial data; financial situation; support vector machine; technology program financial forecast model; Algorithm design and analysis; Ant colony optimization; Arithmetic; Cities and towns; Companies; Predictive models; Support vector machine classification; Support vector machines; Technology forecasting; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073158

Filename

5073158