Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28508
Title: Intelligent fabric hand prediction system with fuzzy neural network
Authors: Yu, Y
Hui, CL 
Choi, TM 
Au, R 
Keywords: Artificial neural network (ANN)
fabric hand prediction
fuzzy logic
fuzzy neural network (FNN)
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews, 2010, v. 40, no. 6, 5451119, p. 619-629 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews 
Abstract: Fabric selection is a crucial step in fashion product development. Prior research works have studied the prediction of fabric specimens based on the fabric hand descriptors via either traditional statistical methods or artificial intelligence methods. Despite showing good prediction accuracy, these methods usually lack an understandable ruleset, which means their interpretability is low. In this paper, a fuzzy neural network (FNN) based intelligent fabric hand prediction system is explored. Unlike some traditional FNN models in which a full ruleset of the artificial neural network (ANN) is presumed, the proposed FNN system includes a simplification of the network structure and feature selection, so that the number of rules is significantly reduced without big sacrifice on prediction accuracy. Real datasets collected from 30 participants evaluation on a set of ten fabric specimens are used to train and test the performance of the proposed system. The systems prediction accuracy is found to be over 80. Applications of the proposed system are discussed and future research directions are outlined.
URI: http://hdl.handle.net/10397/28508
ISSN: 1094-6977
DOI: 10.1109/TSMCC.2010.2045121
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