基于BP神经网络的诊室空间配色设计研究

Color Matching Design of Consulting Room Space Based on BP Neural Network

中文关键词: 诊室设计  色彩搭配  BP神经网络  医疗空间

英文关键词: consulting room design  color matching  BP neural network  medical space

中文摘要:

      目的 以感性工学为理论基础，运用BP神经网络构建神经内科诊室使用者的情感与诊室配色设计之间的映射关系。方法 首先，通过文献查阅和访谈等途径获取神经内科诊室使用者情感感受的意象词汇，并运用聚类分析选取代表性感性意象词对;然后，运用案例分析法，对神经内科诊室进行空间配色设置分析并提取典型色彩样本，经过搭配形成典型配色设计方案，通过语义差异法构建感性评价矩阵;最后，运用Matlab软件，建立神经内科诊室空间配色设计的BP神经网络模型，经验证得出，模型映射了感性意象和空间配色设置之间的关系。结果 运用该模型可获得神经内科诊室空间配色感性意象评价得分预测值，指导诊室空间色彩设计。结论 该方法提高了诊室空间色彩设计的准确度，同时为医疗空间色彩设计提供了重要参考依据。

英文摘要:

      The work aims to construct a mapping relationship between the emotion of users in the neurology consulting room and the color matching design of the consulting room through BP neural network based on the theory of Kansei engineering. Firstly, emotional image words of the users in the neurology consulting room were obtained through literature review and interview, and the representative emotional image word pairs were selected by cluster analysis. Secondly, the case analysis method was used to analyze the spatial color matching settings of the neurology consulting room and extract typical color samples. The typical color matching design scheme was formed through matching, and a perceptual evaluation matrix was constructed through the semantic difference method. Finally, using Matlab software, a BP neural network model of space color matching design in the neurology consulting room was established. After verification, the model mapped the relationship between perceptual images and space color matching settings.This model was helpful to get the predictive value of perceptual image evaluation scores of color matching in the neurology consulting room, and guide the color design of the consulting room space. This method improves the accuracy of color design of consulting room space, and provides an important reference for color design of medical space.