Continuous rainfall-runoff simulation by artificial neural networks based on efficient input variables selection using partial mutual information (PMI) algorithm
M Shafeizadeh, H Fathian, A Nikbakht Shahbazi - Iran-Water Resources …, 2019 - iwrr.ir
Knowledge on the natural ability of basins is one of fundamental needs to optimal utilization
of runoff. Thus, rainfall-runoff simulation in basins is of utmost importance. Continuous …
of runoff. Thus, rainfall-runoff simulation in basins is of utmost importance. Continuous …
Investigation of effect of basin's physiographic and climatic parameters in seasonal river flow simulation
Z Naeimi Kalourazi, K Ghorbani, M Salarijazi… - Iranian journal of …, 2016 - ije.ut.ac.ir
Physiographic characteristics and climatic conditions are factors which contributing to river
flow regime and understanding of relations between these factors and river flow in a basin …
flow regime and understanding of relations between these factors and river flow in a basin …
[PDF][PDF] مدل سازي و پيش بيني کارايي بانک هاي دولتي و خصوصي ايران با استفاده از مدل هاي شبکه عصبي مصنوعي، شبکه عصبي فازي و الگوريتم ژنتيک
تقي زاده مهرجردي روح اله, فاضل يزدي علي, محبي رضا - sid.ir
Arima بهره برداری از مخزن پرسپترون پروتز اندام فوقانی پیش بینی تابع تولید مرزی تحلیل
پوششی داده ها (Dea) خطرسقوط قیمت سهام روش تحلیل پوششی داده ها سری زمانی سطح لغزش غیر …
پوششی داده ها (Dea) خطرسقوط قیمت سهام روش تحلیل پوششی داده ها سری زمانی سطح لغزش غیر …
[引用][C] Evaluating hybrid model of artificial neural networks and genetic algorithms for forecasting consumption of energy in Iran agricultural sector.
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