Predicting conductance due to upconing using neural networks
Artificial neural networks (ANNs) were developed to accurately predict highly time-variable specific conductance values in an unconfined coastal aquifer. Conductance values in the fresh water lens aquifer change in response to vertical displacements of the brackish zone and fresh water-salt water in...
| Publié dans: | Ground water. - 1979. - 43(2005), 6 vom: 12. Nov., Seite 827-36 |
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| Auteur principal: | |
| Autres auteurs: | , , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2005
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| Accès à la collection: | Ground water |
| Sujets: | Journal Article |