皮革科学与工程2025，Vol.35Issue(2)：102-108,7.DOI:10.12472/j.issn.1004-7964.202400048
生成式人工智能下基于层次分析的皮包设计方法研究
Research on Leather Bag Design Method based on Analytic Hierarchy Process and Generative Artificial Intelligence
摘要
Abstract
Using Artificial Intelligence Generated Content(AIGC)as the technical approach,a leather bag design method that can match user expectations was proposed by combining the Analytic Hierarchy Process.This work first established a sample library of leather bag styles through online collection and offline photography.Secondly,a semantic vocabulary library of leather bags was obtained through user interviews to describe users'design expectations,and then the Analytic Hierarchy Process was used to couple user expectations with leather bag design factors.Next,based on the leather bag style factors,all image samples were manually labeled,and the Low-Rank Adaptation(LoRA)method of large language models was trained.The obtained model was then tested and evaluated,and the optimal model was selected based on the criteria of"accuracy"and"generalization".Finally,the specific role of the LoRA model in the leather bag design process was illustrated through leather bag design practices.The conclusion shows that combining the Analytic Hierarchy Process with LoRA model training can effectively improve the output efficiency of Artificial Intelligence(AI)in leather bag styling and make the output results meet user expectations.关键词
人工智能/生成式人工智能/模型训练/层次分析法/皮包/设计/LoRA模型Key words
artificial intelligence/generative artificial intelligence/model training/analytic hierarchy process/leather bag/design/LoRA model分类
矿山工程引用本文复制引用
周涛,龙钎..生成式人工智能下基于层次分析的皮包设计方法研究[J].皮革科学与工程,2025,35(2):102-108,7.基金项目
福建省社会科学基金项目(FJ2024B158) （FJ2024B158）
福建省教育科学规划常规课题(FJJKBK24-175) （FJJKBK24-175）
