articleCATENAOct 30, 2014Closed access

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Universiti Putra Malaysia

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

814
total citations
FWCI
11.22
Percentile
100%
References
55
Citations per year

Authors

4

Topics & keywords

Keywords
  • Support vector machine
  • Topographic Wetness Index
  • Flood myth
  • Computer science
  • Artificial intelligence
  • Radial basis function
  • Data mining
  • Machine learning
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