Incremental FCM Technique for Black Tea Quality Evaluation Using an Electronic Nose

Incremental FCM Technique for Black Tea Quality Evaluation Using an Electronic Nose

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 clust...

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Bibliographic Details
Main Authors: B. Tudu, S. Ghosh, A.K. Bag, D. Ghosh, N. Bhattacharyya, R. Bandyopadhyay
Format: Article
Language:English
Published: Tsinghua University Press 2015-09-01
Series:Fuzzy Information and Engineering
Subjects:
Electronic nose
Black tea quality
Taster scores
Gas sensors
Fuzzy clustering
Incremental learning
Fuzzy c-means
Online Access:http://www.sciencedirect.com/science/article/pii/S161686581500062X

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http://www.sciencedirect.com/science/article/pii/S161686581500062X

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