44 citations · 48 across the 3 of their papers we have counts for
3 papers
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…
physics.soc-ph2006★ 44 cited
Analysis of a Japan government intervention on the domestic agriculture market
Nikolay K. Vitanov, Kenshi Sakai, Ivan P. Jordanov +2
We investigate an economic system in which one large agent - the Japan government changes the environment of numerous smaller agents - the Japan agriculture producers by indirect r…