Aesthetic Evaluation of Art Design Based on Big Data

Authors

  • Liu Shanshan

Abstract

Design is an artistic creation activity. Only the perfect combination of technology and form of products, will be recognized by the majority of consumers. Based on this, this paper studies the aesthetic evaluation of art design under the background of big data. From the perspective of system evolution, this paper puts forward a model of aesthetic comprehensive evaluation. According to the principle of formal aesthetics and big data, this paper constructs an evaluation system composed of 15 product form beauty indexes to obtain the information body of system evolution. At the same time, based on the principle of maximum flow, a nonlinear information dynamic model of aesthetic comprehensive evaluation of product form is established. Through self-organization evolution, each evaluation index can get the appropriate weight, which makes the system tend to be stable, so as to realize the comprehensive evaluation of product shape beauty. This paper uses self-organizing feature mapping network to realize the simulation of the model, and makes a case study on the aesthetic comprehensive evaluation of interior space design. Results compared with the big data of network, the validity of the model is verified. This paper explores the quantitative evaluation standard of product design aesthetics, and provides a more operable evaluation method of design aesthetics for product design.

Published

2020-12-31

Issue

Section

Articles