A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons
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: 2014DOI: 10.1016/j.autcon.2014.02.008
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A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons
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| contributor author | Min-Yuan Cheng | |
| contributor author | Minh-Tu Cao | |
| contributor author | Duc-Hoc Tran | |
| date accessioned | 2020-03-14T10:48:25Z | |
| date available | 2020-03-14T10:48:25Z | |
| date issued | 2014 | |
| identifier other | HKtmPEOoZOTPJgCOTcQif6IMFbbo4tDZlR1eHfeyxpKF_jJYX5.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1623455?locale-attribute=en | |
| format | general | |
| language | English | |
| title | A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 11720688 | |
| identifier doi | 10.1016/j.autcon.2014.02.008 | |
| journal title | Automation in Construction | |
| coverage | Academic | |
| pages | 60-69 | |
| journal volume | 41 | |
| filesize | 1312520 | |
| citations | 1 |