Intelligent computing for vehicle form design: A case study of sand making machine

Feng Zheng, Chun Chun Wei, Yang Cheng Lin, Juan Du, Jiacheng Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, one of the most commonly used artificial intelligence techniques, i.e. neural networks (NNs), due to its effective learning ability, is utilized to develop NN models that can build a design decision support system for facilitating the vehicle form design process and matching specific needs. The sand making machine is chosen as an empirical example because it is the main equipment for the mining machinery. However, product designers only pay attention to its structure and/or functions when they design it. Consequently, the design decision support system built in this paper can be an important reference for product designers’ work, which can examine the design optimization on product elements and help them do the best choice as they design a new vehicle product. The result shows that the NN technique is promising to help product designers design a new sand making machine that best meets specific needs.

Original languageEnglish
Title of host publicationInternet of Vehicles
Subtitle of host publicationTechnologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings
EditorsSheng-Lung Peng, Guan-Ling Lee, Ching-Hsien Hsu, Reinhard Klette
PublisherSpringer Verlag
Pages154-161
Number of pages8
ISBN (Print)9783319723280
DOIs
Publication statusPublished - 2017
Event4th International Conference on Internet of Vehicles, IOV 2017 - Kanazawa, Japan
Duration: 2017 Nov 222017 Nov 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10689 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Internet of Vehicles, IOV 2017
CountryJapan
CityKanazawa
Period17-11-2217-11-25

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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