目的 以感性工学为理论基础,提出一种基于线性数量化Ⅰ类和非线性BP神经网络的月子中心色彩参数化设计方法。方法 首先采用专家法确定月子中心理疗室内重点赋色区域,基于CIE-LCH色彩空间,根据等距选取法初步获取色彩样本,借助欧氏距离公式得到代表性色彩样本;其次,通过文献查阅等方法初步获取目标人群情感意象词汇,借助多维尺度分析和K-means聚类确定代表性词汇,再使用语义差异法量化色彩样本库;最后,分别运用数量化Ⅰ类和BP神经网络建立色彩样本与情感意象评价的关系映射模型,将2个模型的预测结果进行比较验证。结果 使用误差比较法比较2个模型的预测准确性,显示数量化Ⅰ类模型的拟合度更好,可得出理疗室最优配色方案。结论 用非线性模型的预测结果对线性模型的预测结果进行验证,使得结果更为准确,为月子中心理疗室色彩情感化设计提供了科学的设计方法。
Abstract
With Kansei engineering as the theoretical basis, the work aims to propose a color parametric design method for confinement care center based on linear quantitative class-Ⅰ and nonlinear BP neural network. Firstly, the expert method was used to determine the main color allocation areas in the physiotherapy room of the confinement care center, the colour samples were obtained in advance according to the equal distance selection method based on the CIE-LCH color space, and the representative color samples were obtained with the Euclidean distance formula. Secondly, the affective image vocabulary of the target group was obtained with the literature review method, the representative vocabulary was determined through multidimensional scale analysis and K-means clustering, and finally, class-Ⅰ neural networks and quantitative BP were used to establish the relationship mapping model between color samples and affective image ratings. The predictions of the two models were compared and validated. The prediction accuracy of the two models was compared with the error comparison method and the results showed that the quantitative Class-Ⅰ model had a better fit and was able to generate the best color scheme for the physiotherapy room. The prediction results from the linear model are validated with the results from the non-linear model to improve the accuracy of the results and provide a scientific design method for the design of a reasonable color scheme for the physiotherapy room of the confinement care center.
关键词
BP神经网络 /
数量化Ⅰ类 /
色彩设计 /
参数化设计 /
月子中心
Key words
BP neural network /
quantitative class-Ⅰ /
color design /
parametric design /
confinement care center
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基金
2024年—2025年度河北省社科基金年度项目(HB24YS024)