Konu "Fuzzy neural networks" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
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Adaptive neuro-fuzzy inference system combined with genetic algorithm to improve power extraction capability in fuel cell applications
(Elsevier, 2021)This study introduces an improved ANFIS based MPPT method to maximize the power extraction capability of the FC-connected system. The proposed method is tested in a stand-alone system that consists of an FC in the power ... -
The aerodynamic force estimation of a swept-wing UAV using ANFIS based on metaheuristic algorithms
(Cambridge University Press, 2023)In this paper, a new approach to modeling and controlling the problems associated with a morphing unmanned aerial vehicle (UAV) is proposed. Within the scope of the study, a dataset was created by obtaining a wide range ... -
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 ... -
Comparison of different techniques for estimation of incoming longwave radiation
(Springer, 2020)Global warming and climate change have left developing countries fragile in terms of agricultural production, and this vulnerability is expected to increase in the near future. The surface energy budget approach is a ... -
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 ... -
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 ... -
The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)
(Springer, 2022)In this article, the adaptive neuro-based fuzzy inference system (ANFIS) model is developed to estimate the surface roughness (Ra) and tool vibrations (Acc) of AA6013 aluminum alloy during dry turning. Turning experiments ... -
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 ... -
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
(Institute of Electrical and Electronics Engineers Inc., 2020)Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a ... -
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 ...