Neural networks are increasingly being used to enhance the classification and recognition powers of data collected from sensory analysis, This paper details the effectiveness of an enhanced Radial Basis Function Neural Network combined with the outputs from an "Electronic Nose" using electrically conducting organic polymers as sensor materials. Robust performance and classification of data is demonstrated with data patterns from pure chemicals. The system has been used to monitor the changes of odour with age of dry foodstuffs.
CITATION STYLE
Lee, D. H., Payne, J. S., Byun, H. G., & Persaud, K. C. (1996). Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 299–304). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_53
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