Incremental Modeling method based on support vector regression

被引：0

作者：

Wang Ling ^{[1
]}

Mu Zhi-Cun ^{[1
]}

Guo Hui ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Informat Engn Sch, Beijing 100083, Peoples R China

来源：

2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年

关键词：

support vector regression; batch processes; incremental learning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1612 / +

页数：2

共 8 条

[1]

APNIK N, 1998, STAT LEARNING THEORY, P21

[2]

APNIK N, 2000, NATURE STAT LEARNING

[3]

Drucker H., 1997, NEURAL INFORM PROCES, V9

[4]

FUNG G, 2001, INCREMENTAL SUPPORT

[5]

Rüping S, 2001, 2001 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, P641, DOI 10.1109/ICDM.2001.989589

[6] Application of support vector machines in financial time series forecasting [J].

Tay, FEH ;

Cao, LJ .

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2001, 29 (04) :309-317

[7] Support vector machine for regression and applications to financial forecasting [J].

Trafalis, TB ;

Ince, H .

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL VI, 2000, :348-353

[8]

WANG YJ, METAL MAT HEAT TREAT

← 1 →