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Mapping customer needs to design parameters in the front end of product design by applying deep learning

  • Published:2018 Issue:1 Volume:67 Page:145-148
  • ISSN:0007-8506
  • Container-title:CIRP Annals
  • language:en
  • Short-container-title:CIRP Annals

Author:

Wang Yue,Mo Daniel Y.ORCID,Tseng Mitchell M.

Funder

Hong Kong Research Grants Council

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference15 articles.

1. The Effects of Competition in Short Product Life-Cycle Markets: The Case of Motion Pictures;Calantone;Journal of Product Innovation Management,2010

2. Axiomatic Design: Advances and Applications;Suh,2001

3. Network Based Requirement Specification;Lutters;CIRP Annals,2014

4. Product Design and Development;Ulrich,2008

5. Kansei Engineering;Nagamachi,1989

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1. Deep Learning in Computational Design Synthesis: A Comprehensive Review;Journal of Computing and Information Science in Engineering;2024-01-08

2. Consideration of uncertainties in a dynamic modeling system integrated with a deep learning based forecasting approach;CIRP Journal of Manufacturing Science and Technology;2023-09

3. Big Data and AI-Driven Product Design: A Survey;Applied Sciences;2023-08-20

4. A small sample data-driven method: User needs elicitation from online reviews in new product iteration;Advanced Engineering Informatics;2023-04

5. Mapping artificial intelligence-based methods to engineering design stages: a focused literature review;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2023
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