Prediction of relationship between shoulder strap attribute and breast amplitude of sports bra by BP neural network

In order to determine the influence of 3 properties of the sports bras shoulder straps on breast amplitudes during running, the motions of breast markers were attached in 6 different left breast positions of 8 subjects, and different shoulder straps were replaced for the human motion testing. The 3-D coordinates of the breast markers were recorded, and the amplitudes of the breast motion were obtained. The weight relationship between the 3 properties of the shoulder straps and the breast amplitude was determined by using the BP neural network model to replace different model parameters. The results show that when the transmission function of BP neural network is tansig function, the number of implicit layer neurons is 21, and the training function is traingdm as the network parameters, the breast amplitude values of the network fitting is close to the true values of the breast motion to 99.44%. The weights and thresholds of the network input to the hidden layer and the hidden to the output layer are respectively obtained under the network parameters. The positive inference relationship between 3 kinds of properties of the shoulder straps and the breast amplitudes can be obtained. Copyright No content may be reproduced or abridged without authorization.