2008 |
13 | EE | Huazhu Song,
Zichun Ding,
Cuicui Guo,
Zhe Li,
Hongxia Xia:
Research on Combination Kernel Function of Support Vector Machine.
CSSE (1) 2008: 838-841 |
12 | EE | Huazhu Song,
Bin Zhao,
You Zhou,
Yi Lu,
Wang Meng:
Fast Design and Construction for Network Application Solution Based on .Net 3.5 Framework.
CSSE (2) 2008: 420-423 |
11 | EE | Luo Zhong,
Cuicui Guo,
Huazhu Song:
Research and Improvement of Splitting Rule Extraction Data Mining Algorithm Based on Neural Networks.
CSSE (4) 2008: 815-818 |
10 | EE | Luo Zhong,
Jie Li,
Li Yang,
Bo Zhu,
Huazhu Song:
Ontology and Metadata for E-learning Based on Grid.
CSSE (5) 2008: 917-920 |
9 | | Mingyuan Zhang,
Dun Su,
Cuicui Guo,
Huazhu Song:
A Novel Model Based on Genetic Algorithm for Predicting Settlement of Composite Foundation.
GEM 2008: 295-298 |
8 | EE | Luo Zhong,
Zhe Li,
Zichun Ding,
Cuicui Guo,
Huazhu Song:
Multiple Sources Data Fusion Strategies Based on Multi-class Support Vector Machine.
ISNN (1) 2008: 715-722 |
7 | | Huazhu Song,
Dun Su,
Jie Li,
Cuicui Guo,
Luo Zhong:
Design of Stock Information Component based on Semantic Web.
SWWS 2008: 328-332 |
2006 |
6 | EE | Huazhu Song,
Luo Zhong,
Bo Han:
Applying Sensitivity Analysis in Structure Damage Identification.
FSKD 2006: 1318-1321 |
5 | EE | Bo Han,
Lishan Kang,
Huazhu Song:
A Fast Cloud Detection Approach by Integration of Image Segmentation and Support Vector Machine.
ISNN (2) 2006: 1210-1215 |
4 | EE | Huazhu Song,
Luo Zhong,
Bo Han:
Structural damage detection by integrating independent component analysis and support vector machine.
Int. J. Systems Science 37(13): 961-967 (2006) |
2005 |
3 | EE | Bo Han,
Lishan Kang,
Huazhu Song:
An Efficient Clustering Approach for Large Document Collections.
ADMA 2005: 240-247 |
2 | EE | Huazhu Song,
Luo Zhong,
Bo Han:
Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine.
ADMA 2005: 670-677 |
1 | | Huazhu Song,
Luo Zhong,
Franklin Moon:
Structural Damage Detection by Integrating Independent Component Analysis and Artificial Neural Networks.
MLMTA 2005: 190-196 |