Browsing by Author "Ozmen, Atilla"
Now showing items 1-4 of 4
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Air quality prediction using CNN plus LSTM-based hybrid deep learning architecture
Gilik, Aysenur; Ogrenci, Arif Selcuk; Ozmen, Atilla (Springer Heidelberg, 2022)Air pollution prediction based on variables in environmental monitoring data gains further importance with increasing concerns about climate change and the sustainability of cities. Modeling of the complex relationships ... -
Bayesian learning for cellular neural networks
Ozer, Metin (Kadir Has Üniversitesi, 2013)Cellular Neural Networks have been an active research eld since their introduction in the late 80s. Several training algorithms are proposed since then. All have their advantages and disadvantages. Most of them uses ... -
Deep learning based combining rule for the estimation of vapor-liquid equilibrium
Bekri, Sezin; Ozmen, Dilek; Ozmen, Atilla (Springer Heidelberg, 2023)Vapor-liquid equilibrium (VLE) data plays a vital role in the design, modeling and control of process equipment. In this study, to estimate the VLE data of binary systems, a deep neural network (DNN)-based combining rule ... -
Performance of Cellular Neural Network Based Channel Equalizers
Ozmen, Atilla; Enol, H. S; Tander, B. (2020)Abstract—In this paper, a popular dynamic neural network structure called Cellular Neural Network (CNN) is employed as a channel equalizer in digital communications. It is shown that, this nonlinear system is capable of ...