Application of Neural Network to Landslide Susceptibility Analysis
碩士 === 國立中央大學 === 應用地質研究所 === 91 === There is no common agreement on the question, that is, which is the best method among various landslide susceptibility analyses, since they all have their own advantages and disadvantages. Our research tried to utilize the self-learning capability of back propaga...
Main Authors: | Yen-Hsiang Lin, 林彥享 |
---|---|
Other Authors: | Chyi-Tyi Lee |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/54442090621224767874 |
Similar Items
-
METHODOLOGY FOR ESTIMATING LANDSLIDES SUSCEPTIBILITY USING ARTIFICIAL NEURAL NETWORKS
by: E. N. Muñoz, et al.
Published: (2020-11-01) -
A neural network model applied to landslide susceptibility analysis (Capitanejo, Colombia)
by: Joaquín Andrés Valencia Ortiz, et al.
Published: (2018-01-01) -
Application of a hybrid model of neural networks and genetic algorithms to evaluate landslide susceptibility
by: H. B. Wang, et al.
Published: (2017-04-01) -
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
by: S. Lee, et al.
Published: (2006-01-01) -
Neural Networks for Spatial and Temporal Data Classification ─ A Case Study for Landslide Susceptibility Analysis
by: Shih-Kuang Chang, et al.
Published: (2016)