Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
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Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting factor models.Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)
P2860
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
description
article
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 2015
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name
Flood susceptibility analysis ...... ine and frequency ratio method
@en
Flood susceptibility analysis ...... ine and frequency ratio method
@nl
type
label
Flood susceptibility analysis ...... ine and frequency ratio method
@en
Flood susceptibility analysis ...... ine and frequency ratio method
@nl
prefLabel
Flood susceptibility analysis ...... ine and frequency ratio method
@en
Flood susceptibility analysis ...... ine and frequency ratio method
@nl
P2860
P1476
Flood susceptibility analysis ...... ine and frequency ratio method
@en
P2093
Mustafa Neamah Jebur
P2860
P2888
P304
P356
10.1007/S00477-015-1021-9
P577
2015-01-11T00:00:00Z