Nonlinear Information Dynamics Model of Synthetic Evaluation on Product Form Aesthetic

doi:10.3901/JME.2018.15.150

Abstract

Abstract: The nonlinear information dynamic model of synthetic evaluation is proposed for objectively and quantitatively evaluating the product form aesthetics from the perspective of system evolution. According to the principle of formalist esthetics and gestalt psychology, the evaluation system composed of 15 aesthetic measure indexes is established, and the information elements of system evolution are obtained. Based on maximum flux principle, the nonlinear information dynamic model of synthetic evaluation on product form aesthetic is set up. The system would be stable after the appropriate weightes of aesthetic measure indexes are given by self-organized and self-evolved. Then the comprehensive evaluation of product form aesthetic is realized. The model is simulated by self-organizing feature mapping. It is applied to synthetically evaluate the aesthetic measure of nine automobile face samples, and the results is contrasted with the big data of network evaluation, then the validity of model is verified.

Key words: aesthetic measure, maximum flux principle, product form, self-organizing feature mapping, synthetic evaluation

CLC Number:

TB472

ZHOU Aimin, SU Jianning, YAN Shutian, OUYANG Jinyan, SHI Cheng, YUWANG Baiyun. Nonlinear Information Dynamics Model of Synthetic Evaluation on Product Form Aesthetic[J]. Journal of Mechanical Engineering, 2018, 54(15): 150-159.

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