摘要
为设计出符合消费者需求的产品,采用基于神经网路的产品意象造型设计方法。研究过程中首先确定感性词汇与造型设计要素,在此基础上,利用BP神经网络模型建立2者之间的关系,通过对BP模型中的编码、输入层、输出层、隐含层、激活函数以及相关参数的分析设置,进行产品感性意象设计的实验仿真,最后通过测试验证了模型的有效性。结合折叠自行车的设计进行研究,结果表明,该方法是正确可行的。
Product image form design method based on neural network was applied to design products that meet consumer demand. The kansei words and the design elements were determined first. Based on this, the relationship between them was built by using back-propagation network. Through analyzing and setting the encoding, the input layer, the output layer, the hidden layer, the activation functions, and the related parameters of the back propagation network, the simulation experiment was carried out. The validity of the model was verified by testing. It was proved that the method was valid and feasible through the application in folding bike design.
出处
《包装工程》
CAS
CSCD
北大核心
2009年第7期88-90,共3页
Packaging Engineering
关键词
产品意象造型设计
感性工学
神经网络
product image form design
kansei engineering
neural network
