Genetic fuzzy modeling of user perception of three-dimensional shapes
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Applying the frame and theory of Kansei Engineering system, the product styling design method based on neural network is presented. Firstly, the consumer's preference of kansei image is abstracted with the classifying survey and image survey. Then new samples are designed to carry out the image survey again. Thirdly, the nonlinearity evaluate model of product image is established based on neural network, whose process of back propagation will reason out the design knowledge database and evaluate new designed product . Therefore, the method will be applied to aid product styling design availably. At last, it proves the method is feasible and reasonable using the example validation and designing the applied CAD system.