Yapay Sinir Aglari Ile Karisim Siniflandirmasi Üzerine Bir Çalisma

Year 2007, Volume: 3 Issue: 2, 33 - 38, 01.08.2007

İsmihan Yusubov Ali A. Fevzullah Temurtas

Abstract

Bu çalismada, ikili gaz karisimlari olasiliksal sinir agi (PNN) kullanilarak siniflandirilmistir. Kuatz kristal
mikrobalans (QCM) tipi sensorlarden elde edilen kararli hal sensor cevaplarini içeren bir veri seti PNN’nin egitimi
için kullanilmistir. PNN yapisinin performansi deneysel sonuçlara dayanarak tartisilmistir

Keywords

gaz karisimlari, olasiliksal sinir aglari, siniflandirma

A Study on Mixture Classification Using Neural Network

Abstract

In this study, the binary gas mixtures were classified using probabilistic neural network (PNN). A data set
consisted of the steady state sensor responses from the quartz crystal microbalance (QCM) type sensors were used
for the training of the PNN. The performance of the PNN structure was discussed based on the experimental results.

Keywords

gas mixtures, probabilistic neural network, classification