Citations in impact factor journals
A simple and efficient rainfall–runoff model based on supervised brain emotional learning Neural Computing and Applications |
Multimodel Approach Using Neural Networks and Symbolic Regression to Combine the Estimated Discharges of Rainfall-Runoff Models Journal of Hydrologic Engineering Vol. 21, Issue 8, 04016022, 2016 |
Improving Continuous Hydrologic Modeling of Data-Poor River
Basins Using Hydrologic Engineering Center’s Hydrologic Modeling System: Case
Study of Karkheh River Basin Journal of Hydrologic Engineering |
Citation to this article as recorded by
Zakermoshfegh, M., S.A.A.S. Neyshabouri and C. Lucas, 2008. Automatic calibration of lumped conceptual rainfall-runoff model using particle swarm optimization. J. Applied Sci., 8: 3703-3708. CrossRefDirect Link |
Citation to this article as recorded by
Automatic Calibration of Lumped Conceptual Rainfall-Runoff Model
Using Particle Swarm Optimization Journal of Applied Sciences Vol. 8, Issue 20, 3703, 2008 |
How to cite this article
M. Zakermoshfegh, M. Ghodsian, S.A.A. Salehi Neishabouri and M. Shakiba, 2008. River Flow Forecasting Using Neural Networks and Auto-Calibrated NAM Model with Shuffled Complex Evolution. Journal of Applied Sciences, 8: 1487-1494.
DOI: 10.3923/jas.2008.1487.1494
URL: https://scialert.net/abstract/?doi=jas.2008.1487.1494
DOI: 10.3923/jas.2008.1487.1494
URL: https://scialert.net/abstract/?doi=jas.2008.1487.1494