Metal Oxide Gas Sensor Drift Compensation Using a Dynamic Classifier Ensemble Based on Fitting

Sensor drift is currently the most challenging problem in gas sensing. We propose a novel ensemble method with dynamic weights based on fitting (DWF) to solve the gas discrimination problem, regardless of the gas concentration, with high accuracy over extended periods of time. The DWF method uses a...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Sensors (Basel, Switzerland) Ročník 13; číslo 7; s. 9160 - 9173
Hlavní autoři:	Liu, Hang, Tang, Zhenan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 17.07.2013
Témata:	Algorithms Artificial Intelligence Data Interpretation, Statistical Datasets dynamic weights ensemble method Equipment Design Equipment Failure Analysis Fuzzy sets Gases - analysis metal oxide sensors Metal oxides Metals - analysis Methods Neural networks Olfactometry - instrumentation Oxides - analysis Pattern recognition systems sensor drift Sensors Signal processing Support vector machines Transducers
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!