Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2015 -> Volume 7, Issue 3, September
Incremental FCM Technique for Black Tea Quality Evaluation Using an Electronic Nose
Oleh : B. Tudu, S. Ghosh, A.K. Bag, D. Ghosh, N. Bhattacharyya, R. Bandyopadhyay, Fuzzy Information and Engineering
Dibuat : 2015-09-21, dengan 1 file
Keyword : Electronic noseBlack tea qualityTaster scoresGas sensorsFuzzy clusteringIncremental learningFuzzy c-means
Url : http://www.sciencedirect.com/science/article/pii/S161686581500062X
Sumber pengambilan dokumen : web
A novel incremental algorithm based on fuzzy-c-means (FCM) method is proposed and implemented to effectively cluster data obtained from an electronic nose for black tea quality evaluation. The algorithm segregates data generated with the electronic nose from different batches of black tea into clusters with similar features, without requiring to access previously collected data. This feature of appending information exclusively from fresh data points entitles the algorithm to overcome catastrophic interference phenomenon common to conventional pattern recognition techniques.
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| Organisasi | Fuzzy Information and Engineering |
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