Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Through analysis of 2011 Guangzhou city housing situation, this paper discusses the tendency of the per capita housing area. The equation of fitting the per capita housing area is Y = 7.1955 Ln (x) + 1.7867, speculated the housing need of Guangzhou (2012-2020), proposed the problems existing in the Guangzhou housing supply. Finally, this paper creates a path for long-term mechanism, according to current situation of housing problems and the future change of housing supply.
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Decheng Education. 2014. \u201cResearch on the long-term mechanism of housing supply under Urbanization in Guangzhou\u201d. Global Journal of Management and Business Research - F: Real estate, Event, Tourism Management & Transporting GJMBR-F Volume 14 (GJMBR Volume 14 Issue F2): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 132
Country: China
Subject: Global Journal of Management and Business Research - F: Real estate, Event, Tourism Management & Transporting
Authors: Li Ai Shan, Zhou Wei JI (PhD/Dr. count: 0)
View Count (all-time): 109
Total Views (Real + Logic): 4284
Total Downloads (simulated): 2251
Publish Date: 2014 11, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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Through analysis of 2011 Guangzhou city housing situation, this paper discusses the tendency of the per capita housing area. The equation of fitting the per capita housing area is Y = 7.1955 Ln (x) + 1.7867, speculated the housing need of Guangzhou (2012-2020), proposed the problems existing in the Guangzhou housing supply. Finally, this paper creates a path for long-term mechanism, according to current situation of housing problems and the future change of housing supply.
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