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- W4312302547 abstract "This paper presents an effective method to simulate the dynamic deformation of the breasts when a sports bra is worn during physical activity. A subject-specific finite element (FE) model of a female subject is established, and the accuracy of the material coefficients of the model is analyzed. An FE model of the sports bra is also built based on a commercially-available compression sports bra with a vest style. Then, an FE contact model between the body and bra is developed and validated, and the results applied to train a neural network model for predicting breast displacement based on bra straps with different tensile moduli. In this study, a four-layer neural network with a backpropagation algorithm (a Levenberg-Marquardt learning algorithm) is used. A comparison of the FE and machine learning results shows that machine learning can well predict the dynamic displacement of the breasts in a more time-efficient and convenient manner." @default.
- W4312302547 created "2023-01-04" @default.
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- W4312302547 date "2021-09-01" @default.
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- W4312302547 title "Finite Element-Based Machine Learning Method to Predict Breast Displacement during Running" @default.
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- W4312302547 doi "https://doi.org/10.14504/ajr.8.s1.9" @default.
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