Intelligent fabric hand prediction system with fuzzy neural network
Journal
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Journal Volume
40
Journal Issue
6
Pages
619-629
Date Issued
2010
Author(s)
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. ? 2006 IEEE.
Subjects
Artificial neural network (ANN); fabric hand prediction; fuzzy logic; fuzzy neural network (FNN)
Other Subjects
Artificial intelligence methods; Artificial Neural Network; Fabric hand descriptors; fabric hand prediction; Feature selection; FNN models; Future research directions; fuzzy neural network (FNN); Intelligent fabrics; Interpretability; Network structures; Prediction accuracy; Prediction systems; Real data sets; Artificial intelligence; Feature extraction; Forecasting; Fuzzy neural networks; Fuzzy systems; Product development; Fuzzy logic
Type
journal article