Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data

Odorous contaminants in wheat have been detected using a conducting polymer array. A radial basis function artificial neural network (RBFann) was used to correlate sensor array responses with human grading of off-taints in wheat. Wheat samples moulded by artificial means in the laboratory were used...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Chemical, 2000-10, Vol.69 (3), p.348-358
Hauptverfasser:	Evans, Phillip, Persaud, Krishna C, McNeish, Alexander S, Sneath, Robert W, Hobson, Norris, Magan, Naresh
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network Conducting polymer(s) Electronic nose Radial basis function Sensors wheat Wheat quality
Online-Zugang:	Volltext
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