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دکتر مهدی کماسی

22تیر

مقالات چاپ شده در نشریات بین المللی

  1. Nourani, V., Komasi, M., & Mano, A. (2009). A multivariate ANN-wavelet approach for rainfall–runoff modeling. Water resources management, 23(14), 2877.
  2. Nourani, V., Kisi, Ö., & Komasi, M. (2011). Two hybrid artificial intelligence approaches for modeling rainfall–runoff process. Journal of Hydrology402(1-2), 41-59.
  3. Nourani, V., Komasi, M., & Alami, M. T. (2011). Hybrid wavelet–genetic programming approach to optimize ANN modeling of rainfall–runoff Process. Journal of Hydrologic Engineering, 17(6), 724-741.Geomorphology–based genetic programming approach for rainfall–runoff modeling.
  4. Nourani, V., Komasi, M., & Alami, M. T. (2013). Geomorphology-based genetic programming approach for rainfall–runoff modeling.  Journal of Hydroinformatics, 15(2), 427-445.
  5. Nourani, V., & Komasi, M. (2013). A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process. Journal of Hydrology490, 41-55.
  6. Komasi, M., & Sharghi, S. (2016). Hybrid wavelet-support vector machine approach for modelling rainfall–runoff process. Water Science and Technology73(8), 1937-1953.
  7. Komasi, M., Sharghi, S., & Safavi, H. R. (2018). Wavelet and cuckoo search-support vector machine conjugation for drought forecasting using standardized precipitation index (case study: urmia lake, Iran). Journal of Hydroinformatics, jh2018115.

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