Journal
TEXTILE RESEARCH JOURNAL
Volume 77, Issue 1, Pages 4-12Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0040517506070065
Keywords
clothing comfort; woven fabrics; instantaneous heat transfer; neural network; thermal resistance
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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 Q(max), 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.
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