New nonlinear variable-parameter Muskingum models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s12205-017-0652-4/fulltext.html
Reference32 articles.
1. Afzali, S. H. (2016). “Variable-parameter Muskingum model.” Iranian Journal of Science and Technology, Transactions of Civil Engineering, Vol. 40, No. 1), pp. 59–68, DOI: 10.1007/s40996-016-0001-8.
2. Afzali, S. H., Darabi, A., and Niazkar, M. (2016) “Steel frame optimal design using MHBMO algorithm.” International Journal of Steel Structures, Vol. 16, No. 2), pp. 455–465, DOI: 10.1007/s13296-016-6016-y.
3. Barati, R. (2011). “Parameter estimation of nonlinear Muskingum models using Nelder-Mead Simplex algorithm.” Journal of Hydrologic Engineering, Vol. 16, No. 11), pp. 946–954, DOI: 10.1061/(ASCE) HE.1943-5584.0000379.
4. Barati, R. (2013). “Application of excel solver for parameter estimation of the nonlinear Muskingum models.” KSCE Journal of Civil Engineering, Vol. 17, No. 5), pp. 1139–1148, DOI: 10.1007/s12205-013-0037-2.
5. Chu, H.-J. (2009). “The Muskingum flood routing model using a Neuro fuzzy approach.” KSCE Journal of Civil Engineering, Vol. 13, No. 5), pp. 371–376, DOI: 10.1007/s12205-009-0371-6.
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