Design and Development of Interior Design CAD System Based on Class Definition

被引：0

作者：

Feng, Mu ^{[1
]}

Yang, Jiawei ^{[1
]}

机构：

[1] Department of Art and Design, ShiJiazhuang University of Applied Technology, Hebei, ShiJiaZhuang,050000, China

来源：

Computer-Aided Design and Applications | 2024年 / 21卷 / S1期

关键词：

Application programs - Architectural design - Computer aided design - Neural networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The birth of CAD design software effectively combines computer technology with interior design. In the process of interior design, using CAD system can not only design elegant and concise indoor environment effect map, but also be convenient to modify and suitable for multiple use. Based on this, this text analyzes the application of CAD software in interior design in detail. The class definition and DL (Deep learning) algorithm are comprehensively introduced, and the construction and training of DL network model are systematically studied. On this basis, a new interior design CAD system is designed based on class definition and DL algorithm. Finally, the simulation experiment is carried out using ShapeNet data set. The results show that the system in this text can still achieve 89.095% stability under the condition of relatively large usage. In addition, the user rating of interior design CAD system reached 93.598. Both theoretical and simulation results show that the indoor design CAD system based on class definition and DL algorithm has achieved good results and its overall performance is good. The research in this text provides a new idea for intelligent interior design. © 2024, CAD Solutions, LLC. All rights reserved.

引用

页码：116 / 131