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Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection by Author

Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection by Author "Temurtaş, Feyzullah"

Now showing items 21-27 of 27

LECTURE NOTES IN COMPUTER SCIENCE

Temurtaş, Feyzullah; Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2004)

In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the concentration estimation of Toluene gas inside the sensor response time by using the transient sensor response. The Quartz ...
LECTURE NOTES IN COMPUTER SCIENCE

Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)

In this study, the method to apply the Elman's recurrent neural networks for harmonic detection process in active filter is proposed. The feed forward neural networks were also used for comparison. We simulated the distorted ...
LECTURE NOTES IN COMPUTER SCIENCE

Gülbağ, Ali; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)

The use of microcontroller in neural network realizations is cheaper than those specific neural chips. However, realization of complicated mathematical operations such as sigmoid activation function is difficult via general ...
LECTURE NOTES IN COMPUTER SCIENCE

Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)

In this study, the Elman's recurrent neural networks using conjugate gradient algorithm is used for harmonic detection. The feed forward neural networks are also used for comparison. The conjugate gradient algorithm is ...
Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface

M. Serdar Bascil; Teşneli, Ahmet Yahya; Temurtaş, Feyzullah (SPRINGER, 2015)

Brain computer interfaces (BCIs), based on multi-channel electroencephalogram (EEG) signal processing convert brain signal activities to machine control commands. It provides new communication way with a computer by ...
Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks

Gülbağ, Ali; Temurtaş, Feyzullah; Yusubov, İsmihan (ELSEVIER SCIENCE SA, 2008)

In this study, the quantitative discrimination of seven different types of binary volatile organic gas mixtures were realized by using a proposed structure which was combination of probabilistic neural networks (PNNs) and ...
Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN

Teşneli, Ahmet Yahya; Temurtaş, Feyzullah (SPRINGER, 2016)

Brain computer interface (BCI) is a new communication way between man and machine. It identifies mental task patterns stored in electroencephalogram (EEG). So, it extracts brain electrical activities recorded by EEG and ...