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Browsing Makale Koleksiyonu by Author

Browsing Makale Koleksiyonu by Author "Gülbağ, Ali"

Now showing items 1-8 of 8

A neural network implemented microcontroller system for quantitative classification of hazardous organic gases in the ambient air

Gülbağ, Ali; Temurtaş, Feyzullah (INDERSCIENCE ENTERPRISES LTD, 2009)

In this study, a microcontroller-based gas mixture classification system is proposed to use real-time analyses of the trichloroethylene and acetone binary mixture. A Feed Forward Neural Network (FFNN) structure is performed ...
A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2006)

In this study, the feed forward neural networks (FFNNs) were applied and an adaptive neuro-fuzzy inference system (ANFIS) was proposed for quantitative identification of individual gas concentrations (trichloroethylene and ...
A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...
A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, a comparative study was performed for the quantitative identification of individual gas concentrations (trichloroethylene and acetone) in their gas mixtures using transient and steady state sensor responses. ...
Discrimination of quarry blasts and earthquakes in the vicinity of Istanbul using soft computing techniques

Yıldırım, Eray; Gülbağ, Ali; Horasan, Gündüz; Doğan, Emrah; Yıldırım, Engin (Pergamon-Elsevier Science LTD, 2011)

The purpose of this article is to demonstrate the use of feedforward neural networks (FFNNs), adaptive neural fuzzy inference systems (ANFIS), and probabilistic neural networks (PNNs) to discriminate between earthquakes ...
On the improvement of the teaching quality and learning effectiveness in the computer organization course through FPGA and modular centered microcomputer design

Halit Oztekin; Feyzullah Temurtas; Gülbağ, Ali (WILEY, 2018)

This manuscript focuses on the results of a project study on the field programmable gate array (FPGA) and modular based microcomputer architecture design for improving the teaching and learning effectiveness in computer ...
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 ...
REMOTE E-LABORATORY PLATFORM FOR AN FPGA-BASED MICROCOMPUTER SYSTEM

Öztekin, Halit; M. Serdar Bascil; Feyzullah Temurtas; Gülbağ, Ali (ST JOHN PATRICK PUBL, 2015)