Open AccessResearch on intelligent heuristic design of industrial product
Author(s) -
Zenggang Xiong,
Yu Liu,
Haonan Chen
Publication year - 2020
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 - 10.1088/1742-6596/1651/1/012013
Subject(s) - computer science , heuristic , product (mathematics) , resource (disambiguation) , product design , artificial intelligence , information retrieval , industrial engineering , engineering , mathematics , computer network , geometry
Effective and efficient design resource searching significantly inspires the product modeling design. This paper investigates the open innovation platform and design websites, constructs the retrieval algorithm model of design resources based on generative adversary network (GAN). The performance of retrieval algorithm model is tested by comparative experiments with that of Behance. Results show that the retrieval performance of the proposed model can reach the basically the same effects as Behance in conditional experiments, which shows that the GAN retrieval algorithm can be of high value and great potential for development in actual application. At the same time, results also show that taking the Red Dot award-winning works as the retrieval data can better stimulate the inspiration of designers and provide design reference for designers.