Konu "Mean square error" için Fakülteler listeleme
Toplam kayıt 11, listelenen: 1-11
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Artificial neural network approach for locomotive maintenance by monitoring dielectric properties of engine lubricant
(Elsevier, 2019)In this paper, we proposed an approach for locomotive maintenance systems by observing engine lube oil. The mechanical particles in lube oil give information about locomotive engine system condition. The engine lubricant ... -
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 ... -
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
(American Institute of Mathematical Sciences, 2023)Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can ... -
Estimation of daily global solar radiation using deep learning model
(Elsevier, 2018)Solar radiation (SR) is an important data for various applications such as climate, energy and engineering. Because of this, determination and estimation of temporal and spatial variability of SR has critical importance ... -
Estimation of PLC channels: An adaptive simplified map approach
(Istanbul University, 2015)An adaptive channel estimation method, to be used in Power Line Communication systems with Orthogonal Frequency Division Multiplexing modulation, is presented in this paper. The proposed Maximum A-Posteriori based estimator ... -
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 ... -
Power curve modeling for wind turbine systems: a comparison study
(Taylor and Francis Ltd., 2019)The main goal of this study is to determine which one of the current methods is the most appropriate in representing the power curve of commercial Wind Turbine Systems (WTSs). For this purpose, the adequacy of various power ... -
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
(Elsevier, 2018)In this study, the cyclic variability of a diesel engine using diesel fuel and butanol diesel fuel blends is modeled using an artificial neural network (ANN) method. The engine was operated with ten different engine speeds ... -
Pull-out capacity prediction of sustainable cementitious composites with artificial intelligence and statistical methods
(Wiley, 2023)Concrete is used with reinforcement in structures so adherence gains importance especially in fire scenarios. To contribute production of sustainable concrete, by-products like granulated blast furnace slag, fly ash, and ... -
Real-time tuning of PID controller based on optimization algorithms for a quadrotor
(Emerald Group Publishing Ltd., 2021)Purpose This study aims to develop a quadrotor with a robust control system against weight variations. A Proportional-Integral-Derivative (PID) controller based on Particle Swarm Optimization and Differential Evaluation ... -
River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques
(MDPI, 2020)Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is ...