Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights
Lian C.3; Zeng Z.3; Yao W.3; Tang H.5; Chen C.L.P.4
2016-12-01
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN21622388 2162237X
Volume27Issue:12Pages:2683-2695
AbstractIn this paper, we propose a new approach to establish a landslide displacement forecasting model based on artificial neural networks (ANNs) with random hidden weights. To quantify the uncertainty associated with the predictions, a framework for probabilistic forecasting of landslide displacement is developed. The aim of this paper is to construct prediction intervals (PIs) instead of deterministic forecasting. A lower-upper bound estimation (LUBE) method is adopted to construct ANN-based PIs, while a new single hidden layer feedforward ANN with random hidden weights for LUBE is proposed. Unlike the original implementation of LUBE, the input weights and hidden biases of the ANN are randomly chosen, and only the output weights need to be adjusted. Combining particle swarm optimization (PSO) and gravitational search algorithm (GSA), a hybrid evolutionary algorithm, PSOGSA, is utilized to optimize the output weights. Furthermore, a new ANN objective function, which combines a modified combinational coverage width-based criterion with one-norm regularization, is proposed. Two benchmark data sets and two real-world landslide data sets are presented to illustrate the capability and merit of our method. Experimental results reveal that the proposed method can construct high-quality PIs.
KeywordDisplacement prediction feedforward neural networks landslide prediction interval (PI)
DOI10.1109/TNNLS.2015.2512283
URLView the original
Language英語English
Fulltext Access
Citation statistics
Cited Times [WOS]:34   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Ministry of China
2.South-Central University for Nationalities
3.Huazhong University of Science and Technology
4.Universidade de Macau
5.China University of Geosciences, Wuhan
Recommended Citation
GB/T 7714
Lian C.,Zeng Z.,Yao W.,et al. Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights[J]. IEEE Transactions on Neural Networks and Learning Systems,2016,27(12):2683-2695.
APA Lian C.,Zeng Z.,Yao W.,Tang H.,&Chen C.L.P..(2016).Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.IEEE Transactions on Neural Networks and Learning Systems,27(12),2683-2695.
MLA Lian C.,et al."Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights".IEEE Transactions on Neural Networks and Learning Systems 27.12(2016):2683-2695.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lian C.]'s Articles
[Zeng Z.]'s Articles
[Yao W.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lian C.]'s Articles
[Zeng Z.]'s Articles
[Yao W.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lian C.]'s Articles
[Zeng Z.]'s Articles
[Yao W.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.