Time series data intelligent clustering algorithm for landslide displacement prediction-Reference-Cited by-同舟云学术

Time series data intelligent clustering algorithm for landslide displacement prediction

Published:2018-10-27 Issue:4 Volume:35 Page:4131-4140
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Han Liu¹,Shang Tao¹,Shu Jisen¹,Khan Chowdhury Ahmed Jalal²

Affiliation:

1. Mining Engineering, School of Mines, China University of Mining and Technology, Xuzhou, China

2. Department of Marine Science, Kulliyyah of Science, International Islamic University Malaysia, Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, Kuantan, Pahang, Malaysia

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

1. Identification of causal factors for the Majiagou landslide using modern data mining methods;Ma;Landslides,2016

2. Comparison on landslide nonlinear displacement analysis and prediction with computational intelligence approaches;Liu;Landslides,2014

3. A methodology for improving landslide PSI data analysis;Notti;International Journal of Remote Sensing,2014

4. Research and simulation on big data reasonable splitting technology in cloud computing environment;Wang;Computer Simulation,2016

5. Prediction intervals for landslide displacement based on switched neural networks;Lian;IEEE Transactions on Reliability,2016

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