Ara
Toplam kayıt 27, listelenen: 11-20
Modeling of groundwater level using artificial intelligence techniques: A case study of Reyhanli region in Turkey
(Corvinus University of Budapest, 2019)
Determination of the change in groundwater level in terms of planning and managing resources is important. In this study, the groundwater level of Reyhanli region in Turkey was predicted using multi-linear regression (MLR), ...
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
(Taylor and Francis, 2021)
The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ...
Estimation of daily evapotranspiration in Kosice City (Slovakia) using several soft computing techniques
(Springer, 2021)
Accurate estimation of evapotranspiration is one of the main aspects of water management. In this study, the capabilities of soft computing techniques for estimating daily evapotranspiration in Košice (Slovakia) were ...
Evaluation of long-term air temperature, precipitation and flow rate parameters trend change using different approaches: a case study of Amik plain, Hatay
(Springer, 2021)
The investigation of the trend change of climatic parameters during a time scale is one of the most important issues of climatological research. Awareness of the trend of climatic variables is essential for different ...
Modeling of highways energy consumption with artificial intelligence and regression methods
(Springer, 2021)
While developing technology and industrialization factors increase production, they also lead to an increase in energy consumption at the same time. The transportation sector, which is a branch of industrialization, has ...
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
(Taylor and Francis Ltd., 2022)
Solar energy has a key role in producing clean and emissions-free power compare to conventional methods. However, sustainable development also requires a reliable and predictable energy source. It also needs methods to ...
Nehirlerdeki Katı Madde Miktarının Bulanık SMGRT Yöntemi ile Tahmini
(Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 2021)
Nehirlerdeki katı madde miktarının doğru tahmin edilmesi; kirliliğin belirlenmesi, akarsu taşımacılığı, barajömrünün tespiti vb. konularda oldukça önemlidir. Bu çalışmada, Çoklu Doğrusal Regresyon (ÇDR) BulanıkMantık- ...
Keban Baraj Gölü Seviye Değişiminin ANFİS ve Destek Vektör Makineleri ile Tahmini
(Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online), 2020)
Bir baraj haznesindeki su seviyesinin doğru tahmini, su kaynaklarının yönetiminioptimize etmek için önemlidir. Bu çalışmada, Adaptif Sinirsel Bulanık Çıkarımsistemi (ANFIS) ve Destek Vektör Makineleri (DVM) metotları ...
Prediction of CO2 emission in transportation sector by computational intelligence techniques
(Inderscience Publishers, 2022)
Carbon footprint is considered the main cause of global warming. There are various studies on environmental sustainability carried out global scale. In this study, prediction models were developed for CO2 emissions in ...
Predicting monthly streamflow using artificial neural networks and wavelet neural networks models
(Springer, 2022)
Improving predicting methods for streamflow series is an important task for the water resource planning, management, and agriculture process. This study demonstrates the development and effectiveness of a new hybrid model ...