Title :
Incremental Modeling Method Based on Support Vector Regression
Author :
Wang Ling ; Mu Zhi-Cun ; Guo Hui
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing, China
Abstract :
A new incremental modeling method based on support vector regression proposed to improve the model accuracy and update the model for the increasing batch data in the real work. The proposed method has been applied to a practical case of modeling prediction ability of mechanical property of steel materials. Comparing with the traditional support vector machine incremental learning algorithm, the obtained model results demonstrate this promising method improves the model accuracy.
Keywords :
batch processing (industrial); learning (artificial intelligence); regression analysis; steel industry; support vector machines; batch data; batch process; incremental learning; incremental modeling method; mechanical property; steel materials; support vector machine; support vector regression; Building materials; Data engineering; EMP radiation effects; Electronic mail; IEEE catalog; Machine learning; Mechanical factors; Predictive models; Steel; Support vector machines; batch processes; incremental learning; support vector regression;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280585
