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Abstract

The objective of this paper is to report a study on the predictability of the steady-state and transient thermal properties of fabrics using a feed-forward, back-propagation artificial neural network system. A comparison was made with two different network architectures, one with two sequential networks working in tandem fed with a common input and another with a single network that gave two outputs. A three-layered network was used in both the cases. The networks were then subjected to a set of untrained inputs and the output thermal properties, namely thermal resistance and Qmax, were compared with the values obtained experimentally. The architecture with two networks working in tandem with a common set of inputs gave better results than the architecture with one set of inputs used to give two outputs.

Keywords

clothing comfort woven fabrics instantaneous heat transfer neural network thermal resistance

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References

Chen, Y.S. , Fan, J. , and Zhang, W. , Clothing Thermal Insulation during Sweating, Textile Res. J. 73(2), 152—157, (2003).

Farnworth, B. , Mechanism of Heat Flow through Clothing Insulation , Textile Res. J. 53, 717—725, ( 1983).

Hoge, H.J. , and Fonseca, G.F. , The Thermal Conductivity of a Multilayer Sample under a Variety of Experimental Conditions, Textile Res. J. 34, 401—410, (1964).

Zhang, P. , Gong, R.H. , Yanai, Y. , and Tokura, H. , Effects of Clothing Material on Thermoregulatory Responses, Textile Res. J. 72(1), 83—89, (2002).

Chandramohan, G. , and Chellamani , K.P. , Application of ANN in Yarn Manufacturing, Asian Textile J. 11(11), 58—62, (2002).

Mukhopadhyay, A. , Application of Artificial Neural Networks in Textiles, Textile Asia 33(4), 35—39, (2002).

Mukhopadhyay, S. , and Siddiquee, Q. , Artificial Neural Networks and their Use in Textile Technology, Asian Textile J. 12(3), 72—77, (2003).

Park, S.W. , Hwang, Y.G. , and Kang, B.C. , Applying Fuzzy Logic and Neural Networks to Total Hand Evaluation of Knitted Fabrics, Textile Res. J. 70(8), 675—681, (2000).

Wong, A.S.W. , Li, Y. , and Yeung, P.K.W. , Neural Network Predictions of Human Psychological Perceptions of Clothing Sensory Comfort, Textile Res. J. 73(1), 31—37, (2003).

10.

Wong, A.S.W. , Li, Y. , and Yeung, P.K.W. , Predicting Clothing Sensory Comfort with Artificial Intelligence Hybrid Models , Textile Res. J. 74(1), 13—19, (2004).

11.

Yadav, V.K. , and Kothari, V.K. , Prediction of Air-Jet Textured Yarn Properties using Statistical Method and Neural Network, Indian J. Text. & Fib. Res., 29, 149—156, (2004).

12.

Hui, C.L. , Lau, T.W. , Ng, S.F. , and Chan, K.C.C. , Neural Network Prediction of Human Psychological Perceptions of Fabric Hand, Textile Res. J. 74(5), 375—383, ( 2004).

13.

Zurada, J.M. , “ Introduction to Artificial Neural Systems,” 2nd Edition, Jaico Publishing House, Mumbai, (1997).

14.

Demuth, H. , and Beale, M. , “ Neural Network Toolbox, User's Guide Version 4,” The Mathworks Inc.,http://www.mathworks.com/access/helpdesk/help/pdf_doc/nnet/nnet.pdf , (October 2004).

15.

Kuo, C.F.J. , and Lee, C.J. , A. Back Propagation Network for Recognizing Fabric Defects, Textile Res. J. 73(2), 147—151, (2003).

16.

Mogahzy, A.Y. , Gupta, B.S. , Parachuru, R. , Broughton, R. , Abdel-Hady, F. , Pascoe, D. , Slaten, L. , and Buschle- Diller, G. , “Design Oriented Fabric Comfort Model ,” Project No.S01-AE32, National Textile Centre Annual Reports, http://www.ntcresearch.org/pdf-rpts/AnRp03/S01-AE32-A3.pdf, (November 2003).

A Neural Network System for Prediction of Thermal Resistance of Textile Fabrics

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