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

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 Jan 1
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

Fingerprint

Intelligent computing
Sand
Computing
Decision Support Systems
Decision support systems
Neural networks
Neural Networks
Mining machinery
Product Design
Neural Network Model
Design Process
Mining
Artificial Intelligence
Product design
Artificial intelligence
Form
Design

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zheng, F., Wei, C. C., Lin, Y-C., Du, J., & Yao, J. (2017). Intelligent computing for vehicle form design: A case study of sand making machine. In S-L. Peng, G-L. Lee, C-H. Hsu, & R. Klette (Eds.), Internet of Vehicles: Technologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings (pp. 154-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10689 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-72329-7_14
Zheng, Feng ; Wei, Chun Chun ; Lin, Yang-Cheng ; Du, Juan ; Yao, Jiacheng. / Intelligent computing for vehicle form design : A case study of sand making machine. Internet of Vehicles: Technologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings. editor / Sheng-Lung Peng ; Guan-Ling Lee ; Ching-Hsien Hsu ; Reinhard Klette. Springer Verlag, 2017. pp. 154-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1449849ebe474d3198206e26ed93db94,
title = "Intelligent computing for vehicle form design: A case study of sand making machine",
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.",
author = "Feng Zheng and Wei, {Chun Chun} and Yang-Cheng Lin and Juan Du and Jiacheng Yao",
year = "2017",
month = "1",
day = "1",
doi = "10.1007/978-3-319-72329-7_14",
language = "English",
isbn = "9783319723280",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "154--161",
editor = "Sheng-Lung Peng and Guan-Ling Lee and Ching-Hsien Hsu and Reinhard Klette",
booktitle = "Internet of Vehicles",
address = "Germany",

}

Zheng, F, Wei, CC, Lin, Y-C, Du, J & Yao, J 2017, Intelligent computing for vehicle form design: A case study of sand making machine. in S-L Peng, G-L Lee, C-H Hsu & R Klette (eds), Internet of Vehicles: Technologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10689 LNCS, Springer Verlag, pp. 154-161, 4th International Conference on Internet of Vehicles, IOV 2017, Kanazawa, Japan, 17-11-22. https://doi.org/10.1007/978-3-319-72329-7_14

Intelligent computing for vehicle form design : A case study of sand making machine. / Zheng, Feng; Wei, Chun Chun; Lin, Yang-Cheng; Du, Juan; Yao, Jiacheng.

Internet of Vehicles: Technologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings. ed. / Sheng-Lung Peng; Guan-Ling Lee; Ching-Hsien Hsu; Reinhard Klette. Springer Verlag, 2017. p. 154-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10689 LNCS).

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

TY - GEN

T1 - Intelligent computing for vehicle form design

T2 - A case study of sand making machine

AU - Zheng, Feng

AU - Wei, Chun Chun

AU - Lin, Yang-Cheng

AU - Du, Juan

AU - Yao, Jiacheng

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85036461730&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85036461730&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-72329-7_14

DO - 10.1007/978-3-319-72329-7_14

M3 - Conference contribution

SN - 9783319723280

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 154

EP - 161

BT - Internet of Vehicles

A2 - Peng, Sheng-Lung

A2 - Lee, Guan-Ling

A2 - Hsu, Ching-Hsien

A2 - Klette, Reinhard

PB - Springer Verlag

ER -

Zheng F, Wei CC, Lin Y-C, Du J, Yao J. Intelligent computing for vehicle form design: A case study of sand making machine. In Peng S-L, Lee G-L, Hsu C-H, Klette R, editors, Internet of Vehicles: Technologies and Services for Smart Cities - 4th International Conference, IOV 2017, Proceedings. Springer Verlag. 2017. p. 154-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-72329-7_14