| contributor author | Min-Yuan Cheng | |
| contributor author | Nhat-Duc Hoang | |
| date accessioned | 2017-05-08T21:41:12Z | |
| date available | 2017-05-08T21:41:12Z | |
| date copyright | July 2014 | |
| date issued | 2014 | |
| identifier other | %28asce%29cr%2E1943-5495%2E0000011.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59347 | |
| description abstract | In the construction industry, estimating groutability is a crucial task in the planning phase of a grouting project. Hence, establishing an effective groutability prediction model that is simple to implement and can deliver quick responses with high accuracy is a practical need of construction engineers. In this research, a novel instance-based learning approach—Evolutionary Fuzzy | |
| publisher | American Society of Civil Engineers | |
| title | Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach | |
| type | Journal Paper | |
| journal volume | 28 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000370 | |
| tree | Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 004 | |
| contenttype | Fulltext | |
