Details Details PDF BIBTEX RIS Title Hydrogen Detection With a Gas Sensor Array – Processing and Recognition of Dynamic Responses Using Neural Networks Journal title Metrology and Measurement Systems Yearbook 2015 Volume vol. 22 Issue No 1 Authors Gwiżdż, Patryk ; Brudnik, Andrzej ; Zakrzewska, Katarzyna Keywords gas sensor ; sensor array ; temperature modulation ; dynamic response ; feature extraction ; neural networks Divisions of PAS Nauki Techniczne Coverage 3-12 Publisher Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation Date 2015[2015.01.01 AD - 2015.12.31 AD] Identifier DOI: 10.1515/mms-2015-0008 ; ISSN 2080-9050, e-ISSN 2300-1941 Source Metrology and Measurement Systems; 2015; vol. 22; No 1; 3-12 References Nakata (2006), Distinction of gases with a semiconductor sensor under a cyclic temperature modulation with second - harmonic heating Sensor, Chem, 19, 119. ; Huang (2006), Oscillating behaviour of hazardous gas on tin oxide gas sensor : Fourier and wavelet transform analysis Sensor, Chem, 21, 115. ; Balasubramaniana (2009), Neural networksintegrated metal oxide - based artificial olfactory system for meat spoilage identification, Food Eng, 14, 91, doi.org/10.1016/j.jfoodeng.2008.08.008 ; Ngo (2007), High performance of a gas identification system using sensor array and temperature modulation Sensor, Chem, 124. ; Gwiżdż (2012), Temperature modulated response of gas sensors array - humidity interference, Proc Eng, 47. ; Ionescu (2002), Wavelet transform - based fast feature extraction from temperature modulated semiconductor gas sensors Sensor, Chem, 81. ; Sobański (2006), Electronic nose applied to automotive fuel qualification Sensor, Chem, 116. ; Shi (2008), Comparison of Algorithms for an Electronic Nose in Identifying Liquors, Bio Eng, 5. ; Barsan (2007), Metal oxide - based gas sensor research : How to Sensor, Chem, 1, 121. ; Huang (2007), Detection of volatile organic compounds by using a single temperature - modulated SnO gas sensor and artificial neural network, Sensors, 24, 2. ; Jasiński (2003), Nanocrystalline undoped ceria oxygen sensor Sensor, Chem, 10, 95. ; Ortega (2001), An intelligent detector based on temperature modulation of a gas sensor with a digital signal processor Sensor, Chem, 18, 78. ; Neri (2004), A study of water influence on CO response on gold - doped iron oxide sensors Sensor, Chem, 13, 101. ; An (2012), Review on temperature modulation technology of gas sensors, Mech Mater, 143. ; Szczurek (2004), Recognition of benzene , toluene and xylene using TGS array integrated with linear and non - linear classifier, Talanta, 64. ; Gwiżdż (2012), Temperature - modulated gas sensor array Microelectron Uczelniane Politechniki Koszalińskiej, Mater Technol, 1. ; Wang (2010), Metal Oxide Gas Sensors : Sensitivity and influencing factors, Sensors, 10. ; Szecowka (2011), On reliability of neural network sensitivity analysis applied for sensor array optimization Sensor, Chem, 22, 157. ; Pławiak (2014), Classification of tea specimens using novel hybrid artificial intelligence methods Sensor, Chem, 192. ; Calavia (2010), Fabrication of WO nanodot - based microsensors highly sensitive to hydrogen Sensor, Chem, 11, 3. ; Koziej (2005), Water - oxygen interplay on tin dioxide surface : Implication on gas sensing, Chem Phys Lett, 12, 410. ; Kermani (2005), Performance of the Levenberg - Marquardt neural network training method in electronic nose applications Sensor, Chem, 110. ; Lyson (2012), Nanopowders of chromium doped TiO for gas sensors Sensor, Chem, 175.