The Method of Applying Support Vector Machine to Engineering Data Regression

DOI

10.2991/icitmi-15.2015.105How to use a DOI?

Keywords

support vector regression; machine learning; kernel function; parameter optimization

Abstract

Based on machine learning concepts, this paper has put forward two key problems of the application of support vector regression and has given a solution to these problems. It is that the different characteristics of the sample data are decisive factors of the schemes of the selection, and the procedure of the structure of kernel function and parameter optimization are proposed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jin Tian
PY  - 2015/10
DA  - 2015/10
TI  - The Method of Applying Support Vector Machine to Engineering Data Regression
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 640
EP  - 644
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.105
DO  - 10.2991/icitmi-15.2015.105
ID  - Tian2015/10
ER  -