[1]葛宝如,韩馨娴,郑 攀,等.基于BP神经网络与AIGC的服装产品感性造型设计研究[J].服装学报,2026,11(03):221-228.
　GE Baoru,HAN Xinxian,ZHENG Pan,et al.J 0-03[J].Journal of Clothing Research,2026,11(03):221-228.
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基于BP神经网络与AIGC的服装产品感性造型设计研究()

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第11卷
期数:
2026年03期
页码:
221-228
栏目:
服装工程
出版日期:
2026-07-23

文章信息/Info

Title:
J 0-03
作者:
葛宝如;  韩馨娴;  郑 攀;  张书华;  路剑峰
河南科技学院 服装学院,河南 新乡 453000)
Author(s):
GE Baoru;  HAN Xinxian;  ZHENG Pan;  ZHANG Shuhua;  LU Jianfeng
School of Fashion Design,Henan Institute of Science and Technology, Xinxiang 453000, China
分类号:
J 0-03
文献标志码:
A
摘要:
针对消费者差异化、个性化审美需求难以在服装设计中得到充分满足,且服饰生产过程中反复制作样衣易导致资源浪费的问题,构建了一种融合误差反向(BP)神经网络与生成式人工智能(AIGC)技术的服装感性造型设计方法。在感性工学设计框架下,结合文献回顾与访谈搭建感性空间,利用语义差异量表与因子分析提取关键感性词; 配合专家评定与形态分析法提取服装造型设计元素; 运用以Tanh激活函数和traingdx算法为基础的BP神经网络,建立消费者需求与造型设计元素的映射关系,生成最优设计组合,并借助Stable Diffusion模型的Design Lab平台实现图像产出。通过婚纱设计对该模式进行实验个案验证,提取出“浪漫”“优雅”“活泼”“性感”4类感性需求,并成功生成市场化造型方案。婚纱个案验证了该模式在服装感性造型设计中的可行性与实用性。
Abstract:
To solve the problems that that the differentiated and personalized aesthetic demands of consumers are difficult to be fully satisfied in clothing design, and repeated sample garment making in apparel production tends to cause resource waste, this study constructs an affective modeling design method integrating back propagation(BP)neural network and artificial intelligence generated content(AIGC)technology. Under the framework of Kansei engineering design, this research establishes an affective space through literature review and interviews, and extracts key affective words by adopting the semantic differential scale and factor analysis. Furthermore, it adopts expert evaluation and morphological analysis to extract clothing modeling design elements. A BP neural network based on the Tanh activation function and traingdx algorithm is applied to build the mapping relationship between consumer demands and modeling design elements and generate the optimal design combination, and the Design Lab platform of the Stable Diffusion model is used to realize image output. This method is verified through an experimental case study on wedding dress design. Four types of affective demands including "romance" "elegance" "liveliness" and "sexiness" are extracted, and market-oriented modeling schemes are successfully generated. The wedding dress case verifies the feasibility and practicability of the proposed model in the affective modeling design of costumes.

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更新日期/Last Update: 2026-06-30