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Innovative Design of Intangible Cultural Heritage Elements in Fashion Design Based on Interactive Evolutionary Computation

机译:基于互动进化计算的时装设计中无形文化遗产元素的创新设计

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The application of intangible cultural heritage cultural elements and traditional crafts in modern design, especially in modern fashion design, is not to flatter the public but to integrate the artistic language of intangible cultural heritage into modern fashion on the basis of deeply understanding the connotation of intangible cultural heritage and mastering its traditional crafts, so as to meet people’s demand for fashion and aesthetics. It can also promote the inheritance and development of traditional intangible cultural heritage culture and technology. The purpose of this study is to analyze the intangible cultural heritage elements in the innovative design of fashion design by using interactive evolutionary computation. According to the composition characteristics of cultural elements, this research uses interactive evolutionary calculation to analyze the current status of intangible cultural heritage elements in clothing design. Then, 30 fashion designers are selected to evaluate the design situation and judge the effect of the method on the design. The results show that the neural network has evaluated 36 generations, that is, 256 times of moderate value. Compared with the general IGA algorithm, adding neural network IGA can reduce the fatigue caused by user reference score and improve the quality of the optimal solution, and the cultural image attributes whose perception frequency is more than 50% are favored. It is concluded that the research method in the intangible cultural heritage elements in fashion design can improve user satisfaction and the effect is good. This research contributes to the application of intelligent algorithm in the field of fashion design.
机译:非物质文化遗产文化元素和现代设计中的传统工艺在现代时尚设计中的应用,并不奉承公众,而是将无形文化遗产的艺术语言整合到现代时尚的基础上,深入了解无形的内涵文化遗产和掌握其传统工艺品,以满足人们对时尚和美学的需求。它还可以促进传统无形文化遗产文化和技术的传承与发展。本研究的目的是通过使用互动进化计算分析时装设计的创新设计中的无形文化遗产。根据文化元素的组成特征,本研究采用互动进化计算来分析服装设计中无形文化遗产元素的现状。然后,选择30个时装设计师来评估设计情况并判断方法对设计的影响。结果表明,神经网络已经评估了36代,即256次中等价值。与通用IGA算法相比,添加神经网络IGA可以降低用户参考评分引起的疲劳,提高最佳解决方案的质量,并且感知频率大于50%的文化图像属性是有利的。得出结论,在时装设计中的无形文化遗产元素中的研究方法可以提高用户满意度,效果很好。该研究有助于应用智能算法在时装设计领域。

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