Application of BP neural network in prediction of shapewear pressure

In order to predict underwear pressure when wearing shapewear, a prediction method based on neural network was proposed. A total of 26 female college students wore the shapewear of the same brand, and were asked to perform four poses. The pressure values at 20 body points of each subject were measured, respectively. Two different BP neural network toolbox functions were used to establish the pressure prediction models. The relationships between the pressure values and five body measurements were analyzed. The prediction results were tested and compared while using the two different toolbox functions and different input values. The results show that the method based on neural network does not need complicated calculation process. By this method, five body measurement values can be directly used to predict the pressure value of shapewear. The prediction accuracy of the newff function is superior to that of the feedforwardnet function. The accuracy of the prediction of pressure in the two standing poses is better than that in the two sitting poses. When taking the pressure values of standing pose and five body measurements as input values, the pressure values of the other three poses can be predicted with the accuracy over 82%. Copyright No content may be reproduced or abridged without authorization.