Artificial Intelligent Models for New Product Design: An Application Study

Yang Cheng Lin; Yun Ting Chen

doi:10.1109/CSCI.2016.0215

Artificial Intelligent Models for New Product Design: An Application Study

Yang Cheng Lin, Yun Ting Chen

Department of Industrial Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
Editors	Mary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1134-1139
Number of pages	6
ISBN (Electronic)	9781509055104
DOIs	https://doi.org/10.1109/CSCI.2016.0215
Publication status	Published - 2017 Mar 17
Event	2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States Duration: 2016 Dec 15 → 2016 Dec 17

Publication series

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

Other

Other	2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
Country/Territory	United States
City	Las Vegas
Period	16-12-15 → 16-12-17

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems
Health Informatics
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/CSCI.2016.0215

Cite this

Lin, Y. C., & Chen, Y. T. (2017). Artificial Intelligent Models for New Product Design: An Application Study. In M. Yang, H. R. Arabnia, L. Deligiannidis, & L. Deligiannidis (Eds.), Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (pp. 1134-1139). Article 7881508 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2016.0215

Lin, Yang Cheng ; Chen, Yun Ting. / Artificial Intelligent Models for New Product Design : An Application Study. Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. editor / Mary Yang ; Hamid R. Arabnia ; Leonidas Deligiannidis ; Leonidas Deligiannidis. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1134-1139 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016).

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title = "Artificial Intelligent Models for New Product Design: An Application Study",

abstract = "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.",

author = "Lin, {Yang Cheng} and Chen, {Yun Ting}",

year = "2017",

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editor = "Mary Yang and Arabnia, {Hamid R.} and Leonidas Deligiannidis and Leonidas Deligiannidis",

booktitle = "Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016",

address = "United States",

note = "2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 ; Conference date: 15-12-2016 Through 17-12-2016",

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Lin, YC & Chen, YT 2017, Artificial Intelligent Models for New Product Design: An Application Study. in M Yang, HR Arabnia, L Deligiannidis & L Deligiannidis (eds), Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016., 7881508, Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1134-1139, 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, Las Vegas, United States, 16-12-15. https://doi.org/10.1109/CSCI.2016.0215

Artificial Intelligent Models for New Product Design: An Application Study. / Lin, Yang Cheng; Chen, Yun Ting.
Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. ed. / Mary Yang; Hamid R. Arabnia; Leonidas Deligiannidis; Leonidas Deligiannidis. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1134-1139 7881508 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Artificial Intelligent Models for New Product Design

T2 - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

AU - Lin, Yang Cheng

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N2 - 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.

AB - 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.

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

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Lin YC, Chen YT. Artificial Intelligent Models for New Product Design: An Application Study. In Yang M, Arabnia HR, Deligiannidis L, Deligiannidis L, editors, Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1134-1139. 7881508. (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016). doi: 10.1109/CSCI.2016.0215

Artificial Intelligent Models for New Product Design: An Application Study

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