文献
J-GLOBAL ID:201702243944498266
整理番号:17A1625118
周波数比,一般化加法モデル,とサポートベクトルマシン技法を組み合わせた適応ニューロ-ファジィ推論システムを用いた地すべり敏感性の空間予測【Powered by NICT】
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
著者 (8件):
Chen Wei
(College of Geology & Environment, Xi’an University of Science and Technology, Xi’an 710054, China)
,
Chen Wei
(Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals, Shandong University of Science and Technology, Qingdao 266590, China)
,
Pourghasemi Hamid Reza
(Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran)
,
Panahi Mahdi
(Department of Geophysics, Young Researchers and Elites Club, North Tehran Branch, Islamic Azad University, Tehran, Iran)
,
Kornejady Aiding
(Department of Watershed Management Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran)
,
Wang Jiale
(College of Geology & Environment, Xi’an University of Science and Technology, Xi’an 710054, China)
,
Xie Xiaoshen
(College of Geology & Environment, Xi’an University of Science and Technology, Xi’an 710054, China)
,
Cao Shubo
(Sichuan Institute of Nuclear Geology, No. 35 Huaguan Road, Chengdu 610052, China)
資料名:
Geomorphology
(Geomorphology)
巻:
297
ページ:
69-85
発行年:
2017年
JST資料番号:
T0383A
ISSN:
0169-555X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)