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

Chang Song, Yoshito Ogata

    Research output: Contribution to journalConference articlepeer-review


    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
    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

    All Science Journal Classification (ASJC) codes

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


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