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کلیدواژه: Flow Discharge,Support Vector Machine,Wavelet Neural Network,Forecasting
نویسندگان: Younesi Hojatolah, GODARZI AHMAD
ناشر: ENVIRONMENTAL RESOURCES RESEARCH - ENVIRONMENTAL RESOURCES RESEARCH
River Flow forecasting is of immense importance for reliable planning, designing, and management of water resources projects. This study investigated the performance of wavelet Neural network, support Vector machine, artificial Neural network, and Multiple Models Driven by Artificial Neural Networks... ادامه
سال:2021
مشاهده/دانلود
کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin
نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak
ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY
Introduction: River Flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river Flow rates, among which, intelligen... ادامه
سال:2020
کلیدواژه: SVM,Wavelet transfor,SOM,Groundwater,Ardabil plain
نویسندگان: Daneshvar Vousoughi Farnaz, Manafian azar Vahid
Groundwater has played an important role in the urban and rural water supply and agriculture. In order to manage water resources, an accurate and reliable groundwater level forecasting is needed. In this research, 15 piezometers in Ardabil plain were used. SVM was applied for a prediction method in ... ادامه
سال:2019
کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine
نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.
ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)
In this study, the hybrid support Vector machine-artificial flora algorithm method was developed and the results were compared with those of the support Vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the Flow rate of the rivers employing the daily di... ادامه
کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model
نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI
ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of Watershed Management Research
One of the most important issues in watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, river Flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه
کلیدواژه: Mutual information,Wavelet transform,Little River watershed,Self-organizing map,Artificial intelligence
نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Monirifar Hosein, Sharghi Elnaz
ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING
Conversion of rainfall to runoff according to the laws of gravity vivifies earth, replenishes groundwater, keeps rivers and lakes full of water, and varies the landscape by the action of erosion. Large uncertainties and high non-linearity of the Rainfall-Runoff (R-R) process make it complex task to ... ادامه
کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord
نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.
ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science
Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial Neural networks, Neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه
کلیدواژه: Probability Distribution,Monte Carlo,Lognormal,Fourier Series,Wastewater Inflow
نویسندگان: PIRI J., PIRZADEH B., KESHTEGAR B., GIVEHCHI M.
ناشر: آب و فاضلاب - Water and Wastewater
One of the most important results of hydraulic and hydrological modeling of the urban drainage network is hydrograph estimation. Annual journals on hydraulic and hydrological problems, especially in developing countries, are full of missing data, discrete and continuous gaps in most hydrological dat... ادامه
کلیدواژه: Hybrid Algorithms,Particle Swarm,Entropy,Discharge,Simulated Annealing
نویسندگان: Mohammadi Babak, MOAZENZADEH ROOZBEH
ناشر: علوم و تکنولوژی محیط زیست - Journal of Environmental Science and Technology
Background and Objective: Selecting appropriate inputs for intelligent models are important because it reduces the cost and saves time and increases accuracy and efficiency of its models. The aim of the present study is the use of Shannon entropy to select the optimum combination of input variables ... ادامه
کلیدواژه: dividend policy,corporate strategy,free cash flow,mediator variable,sobel test
نویسندگان: BEKHRADINASAB VAHID
ناشر: پیشرفت های مالی و سرمایه گذاری - ADVANCES IS FINANCE AND INVESTMENT
Any problem that arises in the market is not only an economic issue but also a social issue in which the public interest of society will be jeopardized. To solve these problems, one of the most important concepts in the last two decades is the concept of corporate governance. Because the company nee... ادامه
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