GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea
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: 2017DOI: 10.1080/10106049.2017.1303091
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GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea
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| contributor author | Saro Lee | |
| contributor author | Soo-Min Hong | |
| contributor author | Hyung-Sup Jung | |
| date accessioned | 2020-03-15T14:06:06Z | |
| date available | 2020-03-15T14:06:06Z | |
| date issued | 2017 | |
| identifier other | BnvVXZKGeVHYxVujrvm1gmxSznOClsIVJZy8f2J4tiEHmM8fny.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1966960?locale-attribute=en | |
| format | general | |
| language | English | |
| title | GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 13686290 | |
| identifier doi | 10.1080/10106049.2017.1303091 | |
| journal title | Geocarto International | |
| coverage | Academic | |
| pages | 1-15 | |
| filesize | 1751979 | |
| citations | 2 |