Urban Growth Modeling Using Neural Network Simulation: A Case Study of Dongguan City, China

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ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"Urban Growth Modeling Using Neural Network Simulation: A Case Study of Dongguan City, China"
written by Xinmin Zhang,
published by Journal of Geographic Information System, Vol.8 No.3, 2016

has been cited by the following article(s):

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[1]	Simulating urban expansion with interpretable cycle recurrent neural networks GIScience & Remote Sensing, 2024 DOI:10.1080/15481603.2024.2363576

[2]	Simulating urban expansion with interpretable cycle recurrent neural networks GIScience & Remote Sensing, 2024 DOI:10.1080/15481603.2024.2363576

[3]	A Web‐Based Architecture to Operationalize Geospatial Simulation Environments Advanced Theory and Simulations, 2024 DOI:10.1002/adts.202400144

[4]	Analysis and Prediction of Urban Growth Using Neural-Network-Coupled Agent-Based Cellular Automata Model for Chennai Metropolitan Area, Tamil Nadu, India Journal of the Indian Society of Remote Sensing, 2019 DOI:10.1007/s12524-019-01003-8

[5]	A spatial‐adjacency‐based approach for analyzing urban landscape structure Transactions in GIS, 2018 DOI:10.1111/tgis.12490

[6]	Classification Based on Spectral Characterization and Analysis of Land Cover Change in Dhaka 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS), 2018 DOI:10.1109/ICIS.2018.8466545

[7]	A spatial-adjacency-based approach for analyzing urban landscape structure Transactions in GIS, 2018 DOI:10.1111/tgis.12490

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