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

被引：8

作者：

Tudu, B. ^{[1
]}

Ghosh, S. ^{[2
]}

Bag, A. K. ^{[3
]}

Ghosh, D. ^{[4
]}

Bhattacharyya, N. ^{[4
]}

Bandyopadhyay, R. ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Instrumentat & Elect Engn, Kolkata 700098, India

[2] CSIR Cent Glass & Ceram Res Inst, Sensor & Actuator Div, 196 Raja SC Mullick Rd, Kolkata 700098, India

[3] FIEM, Dept Appl Elect & Instrumentat Engn, Kolkata 700150, India

[4] Ctr Dev Adv Comp, Kolkata 700091, India

来源：

FUZZY INFORMATION AND ENGINEERING | 2015年 / 7卷 / 03期

关键词：

Electronic nose; Black tea quality; Taster scores; Gas sensors; Fuzzy clustering; Incremental learning; Fuzzy c-means;

D O I：

10.1016/j.fiae.2015.09.002

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页码：275 / 289

页数：15

共 50 条

[1] Electronic nose for black tea quality evaluation by an incremental RBF network
Tudu, Bipan
Jana, Arun
Metla, Animesh
Ghosh, Devdulal
Bhattacharyya, Nabarun
Bandyopadhyay, Rajib
SENSORS AND ACTUATORS B-CHEMICAL, 2009, 138 (01): : 90 - 95
[2] Electronic Nose for On-line Quality Evaluation of Black Tea Using Incremental SOM Techniques
Ghosh, Saptarshi
Bhattacharyya, Nabarun
Tudu, Bipan
Bandyopadhyay, Rajib
2015 2ND INTERNATIONAL SYMPOSIUM ON PHYSICS AND TECHNOLOGY OF SENSORS, 2015, : 273 - 277
[3] Towards Versatile Electronic Nose Pattern Classifier for Black Tea Quality Evaluation: An Incremental Fuzzy Approach
Tudu, Bipan
Metla, Animesh
Das, Barun
Bhattacharyya, Nabarun
Jana, Arun
Ghosh, Devdulal
Bandyopadhyay, Rajib
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2009, 58 (09) : 3069 - 3078
[4] A Neuro Fuzzy Based Black Tea Classifying Technique Using Electronic Nose and Electronic Tongue
Mondal, Sourav
Banerjee , Runu
Tudu, Bipan
Bandyopadhyay, Rajib
Bhattacharyya, Nabarun
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND COMMUNICATION, 2017, 458 : 477 - 484
[5] A novel fuzzy based signal analysis technique in electronic nose and electronic tongue for black tea quality analysis
Modak, Angiras
Banerjee , Runu
Tudu, Bipan
Bandyopadhyay, Rajib
Bhattacharyya, Nabarun
2016 IEEE FIRST INTERNATIONAL CONFERENCE ON CONTROL, MEASUREMENT AND INSTRUMENTATION (CMI), 2016, : 279 - 283
[6] Electronic Nose for the Vinegar Quality Evaluation by an Incremental RBF Network
Men, Hong
Wang, Lei
Zhang, Haiping
JOURNAL OF COMPUTERS, 2012, 7 (09) : 2276 - 2282
[7] Monitoring of black tea fermentation process using electronic nose
Bhattacharyya, Nabarun
Seth, Sohan
Tudu, Bipan
Tamuly, Pradip
Jana, Arun
Ghosh, Devdulal
Bandyopadhyay, Rajib
Bhuyan, Manabendra
JOURNAL OF FOOD ENGINEERING, 2007, 80 (04) : 1146 - 1156
[8] A Novel Technique of Black Tea Quality Prediction Using Electronic Tongue Signals
Saha, Pradip
Ghorai, Santanu
Tudu, Bipan
Bandyopadhyay, Rajib
Bhattacharyya, Nabarun
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (10) : 2472 - 2479
[9] Mandarin ripeness monitoring and quality attribute evaluation using an electronic nose technique
Gomez, A. H.
Wang, J.
Pereira, A. G.
TRANSACTIONS OF THE ASABE, 2007, 50 (06) : 2137 - 2142
[10] Multi-class Support Vector Machine for Quality Estimation of Black Tea Using Electronic Nose
Saha, Pradip
Ghorai, Santanu
Tudu, Bipan
Bandyopadhyay, Rajib
Bhattacharyya, Nabarun
2012 SIXTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2012, : 571 - 576

← 1 2 3 4 5 →