Browsing Fakülteler by Subject "Backpropagation"
Now showing items 1-5 of 5
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Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ... -
Estimating the energy production of the wind turbine using artificial neural network
(Springer-Verlag London Ltd, 2016)Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ... -
Estimation of Electrical Characteristics and Maximum Power Point of Photovoltaic Panel
(Engineering & Scientific Research Groups, 2017)This paper proposes to estimate the electrical characteristics and maximum power point of a photovoltaic (PV) panel under variable environmental conditions in Sanlrurfa region (southeast of Turkey). Variable environment ... -
A novel fractional operator application for neural networks using proportional Caputo derivative
(Springer, 2022)In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ... -
Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network
(Taylor and Francis Ltd., 2018)Preliminary ship design is an important part of the ship design and a reliable design tool is needed for this stage. The aim of this study was to develop an artificial neural network (ANN) model to predict main particulars ...
