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The use of urban indicators in forecasting a real estate value with the use of deep neural network Cover

The use of urban indicators in forecasting a real estate value with the use of deep neural network

Reports on Geodesy and Geoinformatics
Volume 106 (2018): Issue 1 (December 2018)
By: Anna Bazan-Krzywoszanska and  Michał Bereta  
Open Access
|Dec 2018

Authors

Anna Bazan-Krzywoszanska

A.Bazan@aiu.uz.zgora.pl

Faculty of Civil Engineering, Architecture and Environmental Engineering, University of Zielona Góra, 1 Prof. Z. Szafrana street, 65-516,, Zielona Góra, Poland

Michał Bereta

Department of Computational Intelligence, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology, 24 Warszawska street, 31-155,, Cracow, Poland
DOI: https://doi.org/10.2478/rgg-2018-0011 | Journal eISSN: 2391-8152 | Journal ISSN: 0867-3179
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Language: English
Page range: 25 - 34
Submitted on: Aug 27, 2018
Accepted on: Dec 5, 2018
Published on: Dec 31, 2018
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
planning analysis,
local zoning plan,
local policy,
deep learning,
deep neural networks,
machine learning,
artificial intelligence
Related subjects:
Computer sciences,
Computer sciences, other,
Geosciences,
Geodesy,
Cartography and photogrammetry,
Geosciences, other

© 2018 Anna Bazan-Krzywoszanska, Michał Bereta, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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