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Statistical classification / Support vector machines / Least squares support vector machine / Stability / Vector space / Positive-definite kernel / Algebra / Statistics / Mathematics


Forecasting of building settlements due to earthquake liquefaction based on LSSVM with mixed kernel Fei Wang* Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, C
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Document Date: 2015-01-01 12:00:01


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City

Honolulu / Tangshan / Beijing / /

Company

Neural Networks / China Civil Engineering Journal / BP / /

Country

China / Malaysia / Jordan / /

/

Event

Natural Disaster / Diplomatic Relations / /

Facility

Beijing University of Technology / Nanjing University of Technology / Fei Wang* Institute of Earthquake Resistance / Institute of Earthquake Resistance / Jingyu Su College of Architecture / Zhitao Wang Institute of Earthquake Resistance / /

IndustryTerm

technology support / machine learning algorithm / classification processing / /

Organization

Beijing University of Technology / Beijing / National Natural Science Foundation of China / S≤20 / Jingyu Su College of Architecture and Urban Planning / Fei Wang* Institute of Earthquake Resistance and Disaster Reduction / Institute of Earthquake Resistance and Disaster Reduction / Nanjing University / Scientific Research Foundation / Zhitao Wang Institute of Earthquake Resistance and Disaster Reduction / /

Person

Wei Wang / Fei Xu / Yadong He / Liang Gao / Chi Zhou / Fei Wang / /

/

Position

*Corresponding Author / /

ProgrammingLanguage

BASIC / /

Technology

BASIC PRINCIPLE OF LS-SVM ALGORITHM WITH MIXED KERNEL LS-SVM algorithm / neural network / machine learning algorithm / machine learning / /

SocialTag