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Browsing Bilgisayar Mühendisliği / Computer Engineering by Subject

Browsing Bilgisayar Mühendisliği / Computer Engineering by Subject "Instruments & Instrumentation"

Now showing items 1-6 of 6

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. ...
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network

Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2016)

Electronic nose technology is used in many areas, and frequently in the beverage industry for classification and quality-control purposes. In this study, four different aroma data (strawberry, lemon, cherry, and melon) ...
Determination of volatile organic compounds in air by a surface acoustic wave array

Özmen, Ahmet; Mehmet Ali Ebeoglu; Bekir Mumyakmaz; Balta, Deniz (TAYLOR & FRANCIS INC, 2016)

This article reports the design and performance of a portable volatile organic compound detection system implemented with a surface acoustic wave array. The system employed electrospray technology for the determination of ...
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 ...