Examining Land-Use Change Trends in Yucheng District, Ya’an City, China, Using ANN-CA Modeling

Author:

Zhao Jingyao1,Zhu Xiaofan2,Zhou Yazhou3,Guo Kairui4,Huang Yong4

Affiliation:

1. School of Transportation, Southeast Univ., Southeast Univ. Rd. #2, Nanjing 211189, China.

2. College of Civil Aviation, Nanjing Univ. of Aeronautics and Astronautics, General Avenue #29, Nanjing 211106, China (corresponding author).

3. College of Civil Aviation, Nanjing Univ. of Aeronautics and Astronautics, General Avenue #29, Nanjing 211106, China.

4. School of Architecture and Urban Planning, Chongqing Univ., Shabei St. #29, Chongqing 400030, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Reference28 articles.

1. Feed-forward neural networks training: A comparison between genetic algorithm and back-propagation learning algorithm;Che Z. G.;Int. J. Innovative Comput. Inf. Control,2011

2. Deng, X. 2011. Modeling the dynamics and consequences of land system change, 129–157. Berlin: Springer.

3. On power-law relationships of the Internet topology

4. Global Consequences of Land Use

5. Determining the weights of influencing factors of construction lands with a neural network algorithm: A case study based on Ya’an City;Gao L.;Earth Sci. Inform.,2021

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