CAJ | 학술논문

以感性工学理论为基础，对产品感性意象进行量化研究，运用统计学方法建立产品设计元素空间和感性意象评价值矩阵，并应用BP神经网络算法构建产品形态元素和感性意象的关联模型，得出一具体设计目标下的产品形态元素组合方案。以家具椅为对象，体现江南区域文化意象为目标，采用BP神经网络算法，通过计算机软件MATLAB编程进行学习训练并模拟预测，最终得出结论指导家具椅设计方案。将感性意象量化并系统化，使以感性需求为导向的产品设计更具科学性和实践指导意义，为开发出更符合用户感性需求、更具有市场竞争的产品提供了一种设计思路。
이감성공학이론위기출，대산품감성의상진행양화연구，운용통계학방법건립산품설계원소공간화감성의상평개치구진，병응용BP신경망락산법구건산품형태원소화감성의상적관련모형，득출일구체설계목표하적산품형태원소조합방안。이가구의위대상，체현강남구역문화의상위목표，채용BP신경망락산법，통과계산궤연건MATLAB편정진행학습훈련병모의예측，최종득출결론지도가구의설계방안。장감성의상양화병계통화，사이감성수구위도향적산품설계경구과학성화실천지도의의，위개발출경부합용호감성수구、경구유시장경쟁적산품제공료일충설계사로。
Based on the Kansei engineering theory, this paper does the quantization research on the Kansei image of industrial products, establishes the evaluation matrix of product design elements and Kansei images using the statistical method, and builds the correlation model of product forms’ elements and Kansei images by use of BP neural network algorithm, to work out the scheme of guiding the product form design under some specific purpose. Taking chair furniture as an example, with embod-ying the Jiangnan region culture as the goal, this paper uses BP neural network algorithm for training, simulating and predicting with MATLAB computer software, so that eventual y it works out the scheme of guiding the chair design. lt also quantizes the Kansei image systematical y makes the perceptual demand oriented product design be of more scientific and practical guiding significance and provies a design method for developing more products in line with the users’ perceptual demand and market competition.