神经网络在产品感性设计中的应用

摘要

The consumer sensational images are extracted and the back propagation (BP) neural network model is used to find the relationship between the emotional intention and the product design elements. Through experimental study, the validity and application of BP neural network model is demonstrated. The aim is to seek the product design methods which can guide designers to meet consumer's expectations and to support product design effectively and objectively.%通过对消费者的感性意象提取,运用BP(back propagation)神经网络建立感性意象与产品设计元素一一对应的关系模型,并通过实例论证了关系模型的有效性和快捷性,同时寻求能够指导设计师创造出符合消费者内心期望产品的有效途径,辅助产品设计以消费者感性需求为导向的方式来进行.