A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation-Reference-Cited by-同舟云学术

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A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

Published:2020-04 Issue: Volume:137 Page:104430
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Xing Weiran,Qian Yuehui,Guan Xuefeng,Yang Tingting,Wu Huayi

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference45 articles.

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3. A systematic study of the class imbalance problem in convolutional neural networks;Buda;Neural Network.,2018

4. Simulating urban growth boundaries using a patch-based cellular automaton with economic and ecological constraints;Chen;Int. J. Geogr. Inf. Sci.,2019

5. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore;Clarke;Int. J. Geogr. Inf. Sci.,1998

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