A Hybrid Fuzzy and K-Nearest Neighbor Approach for Debris Flow Disaster Prevention
Author:
Affiliation:
1. Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaoshiung, Taiwan
2. Department of Computer and Communication Engineering, National Kaohsiung University of Science and Technology, Kaoshiung, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09716919.pdf?arnumber=9716919
Reference17 articles.
1. An artificial neural network model to predict debris-flow volumes caused by extreme rainfall in the central region of South Korea
2. Quantitative estimation of debris flow source materials by integrating multi-source data: A case study
3. Application of an Incomplete Landslide Inventory and One Class Classifier to Earthquake-Induced Landslide Susceptibility Mapping
4. Debris Flow
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