Urban Expansion Model Based on Extreme Learning Machine

Urban Expansion Model Based on Extreme Learning Machine

Urban space structure and its simulation are important prerequisites for urban scientific management and planning. Based on the extreme learning machine, this paper proposes an urban extended cellular automaton model (ELM-CA) that takes into account the differences and intensities of different non-u...

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Bibliographic Details
Main Authors: WANG He, ZENG Yongnian
Format: Article
Language:zho
Published: Surveying and Mapping Press 2018-12-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
urban space expansion
complex land use
land conversion differences
cellular automata
extreme learning machine
Online Access:http://html.rhhz.net/CHXB/html/2018-12-1680.htm

Internet

http://html.rhhz.net/CHXB/html/2018-12-1680.htm

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