2002 Chicago, IL July 28-31, 2002 2002
DOI: 10.13031/2013.10948
|View full text |Cite
|
Sign up to set email alerts
|

Study on Construction of Eco-Agricultural Area with the Characteristics of Soil and Water Conservation in Suburb Region

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…At the moment, the susceptibility assessment research of geological disasters is undertaking a significant shift away from traditional qualitative evaluation to qualitative-quantitative evaluation. Analytic hierarchy process (AHP) (Gu et al, 2021;Guerriero et al, 2022;Shen et al, 2021), comprehensive index method (Anaokar et al, 2021), logistic regression analyses (Woo et al, 2014;Xu et al, 2013;Zhao & Chen, 2020), neural networks (Quan & Lee, 2012;Tian et al, 2019;Tsangaratos & Benardos, 2014), support vector machines (Kumar et al, 2017;Orhan et al, 2022;Pham et al, 2019), random forests (Kim et al, 2018;Sun, Wen, et al, 2020), information content method (ICM) (Ba et al, 2017;Fan et al, 2012;Singh & Kumar, 2017), and others are now widely used as commonplace assessed models for the susceptibility evaluation. When compared with the existing assessment approaches, the advantages of qualitative-quantitative evaluation models have a better level of accuracy than the qualitative models.…”
mentioning
confidence: 99%
“…At the moment, the susceptibility assessment research of geological disasters is undertaking a significant shift away from traditional qualitative evaluation to qualitative-quantitative evaluation. Analytic hierarchy process (AHP) (Gu et al, 2021;Guerriero et al, 2022;Shen et al, 2021), comprehensive index method (Anaokar et al, 2021), logistic regression analyses (Woo et al, 2014;Xu et al, 2013;Zhao & Chen, 2020), neural networks (Quan & Lee, 2012;Tian et al, 2019;Tsangaratos & Benardos, 2014), support vector machines (Kumar et al, 2017;Orhan et al, 2022;Pham et al, 2019), random forests (Kim et al, 2018;Sun, Wen, et al, 2020), information content method (ICM) (Ba et al, 2017;Fan et al, 2012;Singh & Kumar, 2017), and others are now widely used as commonplace assessed models for the susceptibility evaluation. When compared with the existing assessment approaches, the advantages of qualitative-quantitative evaluation models have a better level of accuracy than the qualitative models.…”
mentioning
confidence: 99%