Title :
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
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;
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
DOI :
10.1109/IWISA.2009.5073158
