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کلیدواژه: Contemporaneous Models,Linear Models,Multivariate Models,Time series,Water Quality
نویسندگان: Sepehri L., KHALILI K.
ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage
In this research, in order to study and evaluate the accuracy of single-variable time series models, multivariables time series and hybrid models in modeling the River flow quality values in the Peygale hydrometric station located in the west of Lake Urmia from data The qualitative flow of the River... ادامه
سال:2019
مشاهده/دانلود
کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test
نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD
ناشر: مدیریت آب و آبیاری - Journal of Water and Irrigation Management
One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه
سال:2020
کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling
نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza
ناشر: هیدروفیزیک - HYDROPHYSICS
Providing a robust and reliable predictive model for River sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, Riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه
سال:2023
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
کلیدواژه: Watershed Land Use Change,Conceptual Rainfall-Runoff Model,Storage Coefficients,Artificial Intelligence,Wavelet-Entropy
نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Sharghi Elnaz
ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING
This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the artificial intelligence and soft computing capabilities such as wavelet-entropy were employed for t... ادامه
کلیدواژه: Kakarza River, water quality, Electrical conductivity, Wavelet
نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza
ناشر: پژوهش های خشکسالی و تغییر اقلیم - Journal of Drought and Climate Change Research
Electrical conductivity (EC) is an important indicator for monitoring water quality in Rivers. Electrical conductivity is inherently related to the concentration of dissolved ionic compounds present in aquatic environments, including various salts and minerals. Estimating electrical conductivity is ... ادامه
سال:3
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: 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
کلیدواژه: Mutual funds, Liquidity Risk Management, Liquidity Risk Management Tools
نویسندگان: Hosseini Seyed Hossein, Ebrahimi Sarv Oliya Mohammad Hassan, Amiri Maysam, Peymanifurushani Moslem
ناشر: مدیریت دارایی و تامین مالی - Journal of Asset Management and Financing
The possibility of repurchasing the investment units issued by the fund is a distinctive feature of open-end Mutual funds, which exposes these funds to liquidity risk. The main challenge of liquidity management of these funds is providing cash during a crisis and also facing ... ادامه
کلیدواژه: Best Ideas, Portfolio Performance, Mutual Funds
نویسندگان: Heidari Mahdi, Marashi Ali
ناشر: تحقیقات مالی - Financial Research Journal
ObjectiveBest ideas refer to trades within Mutual funds that are driven by the goal of outperforming the index and are primarily based on expert analysis. According to the extant literature, in this study, we use four measures to detect the best ideas... ادامه
سال:2024
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