Soft Computing Modelling of Urban Evolution: Tehran Metropolis

Autor: Mostafa Borhani, Nima Ghasemloo

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 1, Pp 7-5 (2020)

Exploring computational intelligence, geographic information systems and statistical information, a creative and innovative model for urban evolution is presented in this paper. The proposed model employs fuzzy logic and artificial neural network as

Externí odkaz: https://doaj.org/article/d3d7bf8890624c8c93f402deb4ee7cab

Soft Computing Modelling of Urban Evolution: Tehran Metropolis

Autor: Nima Ghasemloo, Mostafa Borhani

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 1, Pp 7-5 (2020)
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
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Exploring computational intelligence, geographic information systems and statistical information, a creative and innovative model for urban evolution is presented in this paper. The proposed model employs fuzzy logic and artificial neural network as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::928640fe7a5993b04377daaaa9b9fa5d
https://doi.org/10.9781/ijimai.2019.03.001

Road and Tunnel Extraction from SPOT Satellite Images Using Neural Networks

Autor: Nima Ghasemloo, Mohammad Reza Mobasheri, Mehran Memar Eftekhari, Ahmad Madanchi Zare

Publikováno v: Journal of Geographic Information System. :69-74

Road extraction from the satellite images can be used in producing road maps as well as managing and developing geospatial databases. In this work, the extraction of roads from SPOT satellite images using artificial neural network has been studied. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9606dd176b5d336e9fcbb6a482b2c008
https://doi.org/10.4236/jgis.2013.51007