Comparison of the performances of the gene expression programming model and the RegCM model in predicting monthly runoff
S Pouyanfar, H Nozari… - Journal of Water and …, 2023 - iwaponline.com
Prediction of rainfall and runoff is one of the most important issues in managing catchment
water resources and sustainable use of water resources. In this study, the accuracy and …
water resources and sustainable use of water resources. In this study, the accuracy and …
Using Artificial Intelligent to Model Predict the Biological Resilience With an Emphasis on Population of cyanobacteria in Jajrood River in The Eastern Tehran, Iran
Prediction of bio-resilience in water resources such as rivers is important for better
management of land-use systems and water resources. This study has proposed the use of …
management of land-use systems and water resources. This study has proposed the use of …
[PDF][PDF] Development of Wavelet-Kstar Algorithm Hybrid Model for the Monthly Precipitation Prediction (Case Study: Synoptic Station of Ahvaz)
Predicting hydrological parameters, especially rainfall, has played a very important role in
water resources management and planning. Therefore, the development of methods giving …
water resources management and planning. Therefore, the development of methods giving …
Evaluation of the Efficiency of Data Preprocessing Methods on Improving the Performance of Gene Expression Programming Model (Case Study: Ab Zal River)
F Ahmadi - Water and Soil, 2021 - jsw.um.ac.ir
Introduction: Surface water has always been one of the most essential pillars of water
projects and, with modeling and predicting the river flow, in addition to the management and …
projects and, with modeling and predicting the river flow, in addition to the management and …
[HTML][HTML] Prediction of Ferizi River-Flow Using Data-Driven Models
S Jamali, F Rahimi Aghcheshme… - Watershed Management …, 2023 - wmrj.areeo.ac.ir
Introduction and Objective Rivers serve as crucial sources of freshwater on Earth, and
precise prediction of river flows plays a vital role in effective water resource management. To …
precise prediction of river flows plays a vital role in effective water resource management. To …
Evaluation of Extended Kalman Filter-based Neural Network (EKFNN) model and Gene Expression Planning in Rainfall-Runoff Modelin
A Hosseini, MR Golabi, S Marofi… - Watershed …, 2020 - jwem.areeo.ac.ir
Simulation of the rainfall-runoff process is the most important step in water engineering and
water resource management studies. Exploitation of surface water and underground water …
water resource management studies. Exploitation of surface water and underground water …
Comparison of the Performance of Artificial Neural Networks and Gene Expression Programming in Estimating the Forest Soil Water Characteristic Curve
MM Jafari, H Ojaghlou, M Karbasi - Iranian Journal of Soil and Water …, 2021 - ijswr.ut.ac.ir
One of the most important and practical physical parameters in studies of soil water flow is
Soil Water Characteristic Curve (SWCC). Measuring the soil moisture characteristic curve …
Soil Water Characteristic Curve (SWCC). Measuring the soil moisture characteristic curve …
[HTML][HTML] Extraction of head-discharge relationship for submerged standard and modified piano key weirs using intelligent algorithms
M Majedi Asl, M Fuladipanah, R Zifar, Z Gasami - Journal of Hydraulics, 2021 - jhyd.iha.ir
Introduction: Weirs are commonly used to measure flow, divert flow, and/or control flow water
conduits. Although weirs are generally designed to run under free-flow conditions, they can …
conduits. Although weirs are generally designed to run under free-flow conditions, they can …
توسعه روش هیبریدی موجک-الگوریتم Kstar برای پیشبینی بارشهای ماهانه (مطالعه موردی: ایستگاه سینوپتیک اهواز)
احمدی, فرشاد, مداح - تحقیقات آب و خاک ایران, 2021 - ijswr.ut.ac.ir
پیشبینی متغیرهای هیدرولوژیک و به ویژه بارش نقش بسیار مهمی در مدیریت و برنامهریزی منابع
آبی داشته و از اینرو توسعه روشهایی که بتواند تخمین دقیقی از آن را به دست دهد همواره مورد توجه …
آبی داشته و از اینرو توسعه روشهایی که بتواند تخمین دقیقی از آن را به دست دهد همواره مورد توجه …
Evaluation of Integrated Models of Wavelet-Artificial Neural Network and Wavelet-Gene Expression Programming in the Short-Term Drought Prediction
M Younesi, H Nozari - Watershed Management Research, 2020 - wmrj.areeo.ac.ir
Drought prediction plays an important role in the planning and management of natural
resources, water resources and plant water requirements. Wavelet transform is one of the …
resources, water resources and plant water requirements. Wavelet transform is one of the …