@inproceedings{2d8d3feee0604bfc85de82b090e60510,
title = "Grey relational analysis based artificial neural networks for product design: A comparative study",
abstract = "Artificial neural networks (ANNs) have been applied successfully in a wide range of fields due to its effective learning ability. In this paper, we propose a grey relational analysis (GRA) based ANN model that can be used to build a design decision support database for facilitating the product design process and matching specific consumers' preferences. The result of an empirical application and a comparative study on fragrance bottle form design shows that the ANN models outperform the grey prediction models, indicating that the ANN technique is promising to help product designers design a new product that best meets consumers' needs.",
author = "Lin, {Yang Cheng} and Yeh, {Chung Hsing}",
year = "2015",
month = jan,
day = "1",
language = "English",
series = "ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
publisher = "SciTePress",
pages = "653--658",
editor = "Joaquim Filipe and Joaquim Filipe and Jurek Sasiadek and Oleg Gusikhin and Kurosh Madani",
booktitle = "ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
note = "12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015 ; Conference date: 21-07-2015 Through 23-07-2015",
}