Data Mining and Pattern Recognition of the Integration of Art Design Style and CAD System

被引:0
|
作者
Liu X. [1 ]
Zhang C. [1 ]
机构
[1] Department of Art, Wuhan Technical College of Communications, HuBei, WuHan
来源
Computer-Aided Design and Applications | 2024年 / 21卷 / S19期
关键词
Art Design; Artistic Style; CAD System Integration; Data Mining; Pattern Recognition;
D O I
10.14733/cadaps.2024.S19.116-131
中图分类号
学科分类号
摘要
Based on data mining technology, this article puts forward an effective method to integrate artistic design style with a CAD (Computer-aided design) system and develops a CAD prototype system with artistic design style. To assess the efficacy and practicality of the approach outlined in this article for integrating art design styles with CAD systems, a simulation experiment was devised and executed. The experimental findings reveal that, in comparison to prior research outcomes, the proposed method exhibits improved performance in the integration of art design styles with CAD systems. Specifically, this method has achieved higher accuracy (above 94%) in the task of artistic style classification, and this method can evaluate the quality of design works more accurately and identify users’ habits and preference patterns more accurately. Accurately identifying and classifying the patterns in the integration of artistic design style and CAD system can provide designers with more accurate design support and suggestions, thus improving design performance. © 2024, CAD Solutions, LLC. All rights reserved.
引用
收藏
页码:116 / 131
页数:15
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