Bashiri,
University of Torbat Heydarieh
[ 1 ] - Comparison of Efficiency for Hydrological Models (AWBM & SimHyd) and Neural Network (MLP & RBF) in Rainfall–Runoff Simulation (Case study: Bar Aryeh Watershed -Neyshabur)
For suitable programming and management of water resources, access to perfect information from the discharge at the watershed outlet is essential. In most watersheds, the hydrometric station is not available; then, different models are used to simulate the discharge within watersheds without data. The selection of preferred model for rainfall- runoff simulation depends to the purpose of modelin...
[ 2 ] - Modelling Climatic Parameters Affecting the Annual Yield of Rheum Ribes Rangeland Species using Data Mining Algorithms
Identification of climatic characteristics affecting the annual yield of Rheum Ribes can be useful in management and development of this species in the rangelands. In this research, the annual yield of this species in Khorasan-Razavi province based on 74 climatic parameters during a ten-year period evaluated and affecting climatic parameters extracted using data mining methods. First, the role ...
نویسندگان همکار