【摘要】 为了更迅速全面地将顾客需求转化为质量特性 ,提出了基于神经网络的动态 QFD方法 .该方法将神经网络与 QFD方法相结合 ,建立了 QFD神经网络模型 .通过网络的学习训练 ,获得最优的关系模型 .该方法能快速地将顾客需求变化传递给设计者 ,从而在第一时间内完成新产品的开发 .并以实例介绍了顾客需求模型以及顾客需求的获取方法更多还原

【Abstract】 In order to transfer the VOC into quality feature more broadly, a new QFD method based on NN is presented in this paper. This method combines QFD with NN. The NN based QFD model is built. It gets the optimization relation in learning process. The changes of VOC are transferred to the designer in very good time. So the new products, which meet the customer’s need, will sell well in the market sooner. Some examples are shown in the paper.更多还原