Average life prediction of existing residential buildings based on Logistic function model

DOI

10.2991/iccsae-15.2016.59How to use a DOI?

Keywords

Existing buildings; prediction; average life expectancy; gross national product.

Abstract

On the energy saving of existing buildings must be used in the preparatory work, planning is the priority among priorities, analysis of what period of residential buildings for energy saving in the economy is reasonable is an important task for the planning stage, the key to the transformation of the energy saving cost for energy saving costs in both the length of the remaining life of buildings. In this paper, we hope to use the Logistic function to predict the average remaining life of existing buildings, and to be beneficial to the relevant departments.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuyang Meng
PY  - 2016/02
DA  - 2016/02
TI  - Average life prediction of existing residential buildings based on Logistic function model
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 310
EP  - 315
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.59
DO  - 10.2991/iccsae-15.2016.59
ID  - Meng2016/02
ER  -