Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation-Reference-Cited by-同舟云学术

Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation

Published:2014-02-17 Issue:4 Volume:28 Page:1173-1184
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Tayfur Gokmen,Nadiri Ata A.,Moghaddam Asghar A.

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-014-0553-y.pdf

Reference72 articles.

1. Abkav Consulting Engineering Company (1973) Geophysical studies reports of Tabriz, Tasuj and Shabestar plains. East Azerbaijan Regional Water Authority, Persian

2. Akbari M, Afshar A, Sadrabadi MR (2009) Fuzzy rule based models modification by new data: application to flood flow forecasting. Water Resour Manag 23(12):2491–2504

3. Akrami SA, Shafie A, Jaafar O (2013) Improving rainfall forecasting efficiency using modified adaptive neuro-fuzzy inference system (MANFIS). Water Resour Manag 27(9):3507–3523

4. Anifowose F, Abdulraheem A (2011) Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization. J Nat Gas Sci Eng 3(3):505–517

5. Aqil M, Kita I, Yano A, Nishiyama S (2007) Analysis and prediction of flow from local source in a river basin using a neuro-fuzzy modeling tool. J Environ Manag 85(1):215–223

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