3 citations · 4 across the 2 of their papers we have counts for
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stat.AP2018★ 1 cited
Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders
Guodong Du, Liang Yuan, Kong Joo Shin +1
The neighborhood effect is a key driving factor for the land-use change (LUC) process. This study applies convolutional neural networks (CNN) to capture neighborhood characteristic…
stat.AP2018★ 3 cited
Modeling the spatio-temporal dynamics of land use change with recurrent neural networks
Guodong Du, Liang Yuan, Kong Joo Shin +1
This study applies recurrent neural networks (RNNs), which are known for its ability to process sequential information, to model the spatio-temporal dynamics of land use change (LU…