| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322783 | Expert Systems with Applications | 2011 | 8 Pages |
Abstract
⺠We modelled outer walls of residential buildings in 81 cities of Turkey for the purpose of investigate insulation layer thickness (d2). ⺠In order to examine d2, rule-based Mamdani-type fuzzy modelling (RBMTF) has been designed. ⺠The d2 was predicted using two input parameters which are Uw and Te. ⺠For Uw the values ranged from 0.4 to 0.7 and for Te, from â43 °C to â3 °C. ⺠R2 for the testing data were about 97.4% and RBMTF can be used as a reliable modelling method for thermal performance of multi-layer precast concrete panels used in residential buildings' studies.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Tosun, K. Dincer, S. Baskaya,