Artificial Intelligent Models for New Product Design: An Application Study

Yang Cheng Lin, Yun Ting Chen

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

As an artificial intelligent technique, artificial neural networks (ANNs) have been applied successfully in a wide range of fields due to its effective learning ability. In this paper, we conduct an empirical application on fragrance bottle form design due to its wide variety of appearances. For getting a better structure of the ANN model to develop the consumer-oriented expert system, we conduct 12 (=4∗3) ANN models with four pairs of learning rate and momentum factors, and three widely used rules for determining the number of neurons in the single hidden layer. As a result, the HN1-C model getting the highest predicting accuracy rate (90.39%) is used to help product designers determine the optimal form combination of new product design.

原文English
主出版物標題Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
編輯Mary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1134-1139
頁數6
ISBN(電子)9781509055104
DOIs
出版狀態Published - 2017 3月 17
事件2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States
持續時間: 2016 12月 152016 12月 17

出版系列

名字Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

Other

Other2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
國家/地區United States
城市Las Vegas
期間16-12-1516-12-17

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 資訊系統
  • 健康資訊學
  • 人工智慧
  • 電腦網路與通信

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