Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions
Year
: 2014DOI: 10.1016/j.flowmeasinst.2014.10.011
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Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions
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| contributor author | Amir Hossein Zaji | |
| contributor author | Hossein Bonakdari | |
| date accessioned | 2020-03-11T19:35:43Z | |
| date available | 2020-03-11T19:35:43Z | |
| date issued | 2014 | |
| identifier other | l6iDTHrjcQxgamKgjNOJiPv0ISHImRIUBoNqmC0TuVfFsBaGp7.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/640650?locale-attribute=en | |
| format | general | |
| language | English | |
| title | Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 4865575 | |
| identifier doi | 10.1016/j.flowmeasinst.2014.10.011 | |
| journal title | Flow Measurement and Instrumentation | |
| coverage | Academic | |
| filesize | 1081496 | |
| citations | 0 |