Predicting aircraft seat comfort using an artificial neural network-Reference-Cited by-同舟云学术

Predicting aircraft seat comfort using an artificial neural network

Published:2018-11-27 Issue:2 Volume:29 Page:154-162
ISSN:1090-8471
Container-title:Human Factors and Ergonomics in Manufacturing & Service Industries
language:en
Short-container-title:Hum. Factors Man.

Author:

Zhao Chuan¹²^ORCID,Yu Sui-huai¹,Miller Charles²,Ghulam Moin¹,Li Wen-hua¹,Wang Lei³

Affiliation:

1. Department of Industrial Design, College of Mechanical Engineering; Northwestern Polytechnical University; Xi’an China

2. Department of Environmental Health Sciences, School of Public Health; University of California at Berkeley; Berkeley CA

3. Department of Interior Design; China Aviation Industry First Aircraft Design and Research Institute; Xi’an China

Funder

Special Scientific Research on Civil Aircraft Project

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Human Factors and Ergonomics

Link

Reference38 articles.

4. Comfortabel vliegen: Comfort van het vliegtuiginterieur door de ogen van de gebruiker;Blok;Tijdschrift voor Ergonomie,2007

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