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

• Published in: Sensors and actuators. B, Chemical Vol. 69; no. 3; pp. 348 - 358
• Main Authors: Evans, Phillip, Persaud, Krishna C, McNeish, Alexander S, Sneath, Robert W, Hobson, Norris, Magan, Naresh
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 25.10.2000
• Subjects: Artificial neural network; Conducting polymer(s); Electronic nose; Radial basis function; Sensors; wheat; Wheat quality; Radial basis function; Artificial neural network; Sensors; Conducting polymer(s); Electronic nose; Wheat quality

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...