Open AccessProduct Appearance Design and Concept Innovation Based on Neural Network
Author(s) -
Liu Beili
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/4/042091
Subject(s) - computer science , usability , product design , artificial neural network , product (mathematics) , realization (probability) , design knowledge , reliability (semiconductor) , matlab , genetic algorithm , process (computing) , human–computer interaction , software engineering , industrial engineering , artificial intelligence , machine learning , engineering , embedded system , programming language , mathematics , bottleneck , power (physics) , statistics , physics , geometry , quantum mechanics
Design, in essence, is a process in which designers use their own design language to explicitly express the needs of users. It is the collision and coupling of design knowledge and user knowledge. Therefore, the study of design knowledge and the realization of knowledge-based COMPUTER-aided design is of positive significance for improving design quality and efficiency. This paper mainly studies the product appearance design and concept innovation based on neural network. In this paper, the comprehensive application of BP neural network and genetic algorithm in the optimization of product appearance modeling scheme to meet the needs of users is studied. Through MATLAB, a BPN model was built to realize the mapping relationship between the product appearance modeling knowledge and the overall image, and the optimized objective function was obtained by combining the image of user demand, thus improving the usability and reliability of product appearance design.