Study of modern industria product optimization design based on image

To design the acceptable products that meet consumer emotional demands is very important, and a novel method is proposed combining neural network with genetic algorithm(GA). In this paper, a back propagation neural network(BPNN) is applied to map the relationships between product design elements and customer kansei image evaluation. And then, GA is employed to search for the optimal product form which satisfies customer requirement by using the trained neural network. In the end, the framework of product image form optimization design system using Virtual Reality Modeling Language(VRML) is analyzed. To test the method, an example of kettle design is used to study, the results show that this method is valid and feasible.