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  1. Information Technology Journal
  2. Vol 12 (12), 2013
  3. 2412-2418
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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 12 | Page No.: 2412-2418
DOI: 10.3923/itj.2013.2412.2418

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Authors


Weiping Deng

Country: China

Jianzhong Zhou

Country: China

Qiang Zou

Country: China

Jian Xiao

Country: China

Yongchuan Zhang

Country: China

Weihua Hua

Country: China

Keywords


  • kernel optimization
  • grid search
  • feature weighted
  • flood disaster evaluation
  • Support vector machine
Research Article

Flood Disaster Evaluation Model Based on Kernel Dual Optimization Support Vector Machine

Weiping Deng, Jianzhong Zhou, Qiang Zou, Jian Xiao, Yongchuan Zhang and Weihua Hua
PDF Abstract Fulltext XML References

Citation to this article as recorded by Crossref logo

Advanced GIScience in Hydro-Geological Hazards
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Pluvial flood risk assessment for 2021–2050 under climate change scenarios in the Metropolitan City of Venice
Science of The Total Environment
Risk Assessment Inference Approach Based on Geographical Danger Points Using Student Survey Data for Safe Routes to School
IEEE Access
Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
Geomatics, Natural Hazards and Risk Vol. 8, Issue 2, 1080, 2017

How to cite this article

Weiping Deng, Jianzhong Zhou, Qiang Zou, Jian Xiao, Yongchuan Zhang and Weihua Hua, 2013. Flood Disaster Evaluation Model Based on Kernel Dual Optimization Support Vector Machine. Information Technology Journal, 12: 2412-2418.

DOI: 10.3923/itj.2013.2412.2418

URL: https://scialert.net/abstract/?doi=itj.2013.2412.2418

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