NDLI: Estimation of Single-Housing Areas Development Using Artificial Neural Network

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Estimation of Single-Housing Areas Development Using Artificial Neural Network

Content Provider	Scilit
Author	Janusz, Jan Lucka, Robert
Copyright Year	2019
Description	Journal: Iop Conference Series: Materials Science and Engineering The subject of the research is the analytical model of single-housing areas development covered with local spatial plans in the suburban zone of Poznań agglomeration outside the central city. The research is based on the regression analysis with selected techniques of artificial neural networks using SPSS 22 software environment. It is conducted on 61 local spatial plans, with a single-family housing area from 2 to 90 hectares with an average of 15 hectares. Since it was assumed to focus on the growth rate from 5 to 10 years from the implementation of the plan, the research samples come from 1993-2007. In conclusion, it can be stated that a relatively simple network, based only on a few variables, allows for an effective estimation of development in a given time. The model can support the decision-making process for the purposes of sustainable development.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/471/10/102064/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/471/10/102064
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	10
Volume Number	471
Language	English
Publisher	IOP Publishing
Publisher Date	2019-02-23
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Artificial Neural Networks
Content Type	Text
Resource Type	Article

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