Smell peak prediction during black tea fermentation process using time-delay neural network on electronic nose data

Proceedings - International Conference on Computing: Theory and Applications, ICCTA 2007

Volumn , Issue , 2007, Pages 257-260

  Tudu, Bipan ^a   Das, Barun ^a   Bhattacharyya, Nabarun ^b   Jana, Arun ^b   Ghosh, Devdulal ^b   Bandyopadhyay, Rajib ^a  

^a JADAVPUR UNIVERSITY   (India)

^b CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BEVERAGES; BIOCHEMICAL ENGINEERING; ELECTRONIC DATA INTERCHANGE; NEURAL NETWORKS; OPTIMIZATION; PERSONNEL; REAL TIME SYSTEMS;

BLACK TEA FERMENTATION; ELECTRONIC NOSE; SMELL PEAK PREDICTION; TIME DELAY NEURAL NETWORK (TDNN);

FERMENTATION;

EID: 34547303446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCTA.2007.119     Document Type: Conference Paper

References (6)

1. H. Co, G. W. Sanderson, Biochemistry of Tea Fermentation: Conversion Of Amino Acids to Black Tea Aroma Constituents, J. Food Sei. 35 (1970), pp. 160-164.
2. J. L. Gonzalez, P. Coggon, G.W. Sanderson, Biochemistry of tea fermentation: Formation of t-2 hexenal from linolenic acid, J. Food Sei. 37 (1972), pp. 797-798.
3. N. Bhattacharya et.al., Detection of Optimum Fermentation Time for Black Tea Manufacturing Using Electronic Nose, Sensors and Actuators B(2006),Article in Press.
4. Zhang, H., Balaban, M.O., Principe, J.C, Improving pattern recognition of electronic nose data with time-delay neural networks, Sensors and Actuators, B: (2003), 96, pp. 385-389.
5. Mevlut Ture, Imran Kurt, Comparison of four different time series methods to forecast hepatitis A virus infection. Expert Systems with Applications, Vol. 31, 1, July 2006, pp. 41-46.
6. A.Waibel et.al., Phoneme Recognition Using Time delay Neural Networks, IEEE transaction on acoustics, speech and signal processing.vol.37(3) (1989), pp.328-339.