Ghosh, Saptarshi and Bhattacharyya , Nabarun and Tudu, Bipan and Bandyopadhyay, Rajib (2006) Electronic nose for on-line quality evaluation of black tea using incremental SOM techniques. In: 2nd International Symposium on Physics and Technology of Sensors, ISPTS 2015, 8 - 10 March 2015, Pune; India.

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Abstract

The limitations of the classical pattern recognition algorithms may be addressed by an incremental way of learning, through which the existing knowledge base can be expanded from the information gathered solely from new set of samples. In this study, a novel incremental Self Organizing Map (i-SOM) algorithm is proposed and applied on the data generated from an electronic nose for black tea quality evaluation. The algorithm enables data with similar features (data points corresponding to different batches of black tea having similar aroma content) to be clustered together without the necessity of access to previously generated dataset.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	2nd International Symposium on Physics and Technology of Sensors, ISPTS 2015; Pune; India; 8 March 2015 through 10 March 2015
Uncontrolled Keywords:	Art. no. 7220128
Subjects:	Electronics
Divisions:	Sensor and Actuator
Depositing User:	Bidhan Chaudhuri
Date Deposited:	27 May 2016 11:26
Last Modified:	27 May 2016 11:26
URI:	http://cgcri.csircentral.net/id/eprint/3449

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