Research on the image of sweeping robot based on the Artificial Neural Network

Chang Song, Yoshito Ogata

Research output: Contribution to journalConference article

Abstract

Based on the theory of Artificial Neural Network and Kansei Engineering, the image of sweeping robots are formed using the content analysis method, and propose four kinds of sweeping robot as the experimental samples, which have a strong influence on the market. The image questionnaires are compiled by the semantic differences methods. 200 office workers, half men and half women, are chose as the survey respondents. And use SPSS statistical software for data analysis. Afterwards, the BP Artificial Neural Network model is established by Matlab based on the questionnaire results, and the optimized design scheme with image feature combination for sweeping robot products is generated on the basis of BP Artificial Neural Network model. This study construct the emotional demands on the image level, and carry out experiments and statistical analysis, which lays a solid foundation for the study of product image in theory and approach.

Original languageEnglish
Article number00059
JournalMATEC Web of Conferences
Volume139
DOIs
Publication statusPublished - Dec 5 2017
Event3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017 - Chengdu, China
Duration: Dec 16 2017Dec 17 2017

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Robots
Neural networks
Statistical methods
Semantics
Experiments

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Research on the image of sweeping robot based on the Artificial Neural Network. / Song, Chang; Ogata, Yoshito.

In: MATEC Web of Conferences, Vol. 139, 00059, 05.12.2017.

Research output: Contribution to journalConference article

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