Research on Product Kansei Intention Model based on BP Neural Network

Abstract

Facing the design and development of complex products, the traditional design innovation model can not solve the problem of the transformation of consumers' emotional information in the design process. The main reason is that users' emotional information is difficult to capture in the design process, and the traditional design process can not solve complex problems. In this case, it is necessary to establish a product perceptual intention model based on perceptual engineering and neural network. The model is not only a new method of product innovation design, but also a market-oriented process to reduce design risk. This research is an interdisciplinary application research. Taking the electric water heater product as an example, the model is constructed, mainly using the relevant theoretical knowledge of perceptual engineering and neural network. The model transforms emotional information into measurable data, and establishes the corresponding relationship between product shape structure and perceptual evaluation value through BP neural network. The model provides a reliable scientific theoretical basis for the perceptual design of products, can speed up the product development process, reduce the development cost, and make the development results more in line with consumers' expectations. The model is suitable for enterprise application and is an effective supplement to the traditional design method. Similarly, the model can also provide reference for the development and design of other products.