Displacement prediction model of landslide based on functional networks

Authors:
Jiejie Chen;Zhigang Zeng;Huiming Tang
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China,Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China ...;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China,Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China ...;Faculty of Engineering, China University of Geosciences, Wuhan, China
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Year:
2013

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Abstract

In this paper, a novel computational intelligence scheme is proposed to forecast landslide based on functional networks. Two types functional networks, general functional networks with two variables basis function (GFN) and separable functional networks (SFN) are applied to predict a real-world example. In addition, the experiments reveal that the landslide prediction using functional networks is reasonable and effective, and GFN are consistently better than SFN in terms of the same measurements.