Abstract: By analyzing the sentimental images and elements of form of wall set charging pile, a BP
neural network design model is established between them. Use the method of Likert scale to evaluate
the form samples and sentimental words of wall set charging pile, calculate the matrix of sentimental
evaluation. Then encode the elements of form and input them into the BP neural network as input
parameters, normalize the data of matrix of sentimental evaluation as the output parameters. Finally
train and test the BP neural network of wall set charging pile by Matlab and establish the mapping
relation between elements of form and sentimental images. The BP neural network model of wall set
charging pile was obtained. The accuracy of BP neural network model is measured by the function of
mean square error. The results show that the BP neural network model between the sentimental
images and the elements of form of the wall set charging pile is feasible.

Key words: kansei engineering, BP neural network, wall set charging pile, modality design elements