Dimensionality reduction and reconstruction method of dummy biomechanics response based on adaptive autoencode
A adaptive autoencoder was proposed to solve the problem of reducing and reconstructing the biomechanics response curve of collision dummy.The adaptive autoencoder method was constructed based on the standard autoencoder principle and the dummy biomechanics-response-curve characteristics with adding some constraints.The synthetic acceleration curve data were selected as sample data after data cleaning and sampling for the dummy-head gravity-center.The correlation number and the reconstruction mean square error of the standard autoencoder and the adaptive autoencoder are calculated;while the linear and nonlinear reduction and reconstruction ability were compared and verified for the adaptive autoencoder.The results show that the adaptive autoencoder has a reconstruction error of 2.6%for linear dimensionality and 2.4%for nonlinear dimensionality,while the covariance value is close to 0 for the low-dimensional data.Therefore,the adaptive autoencoder proposed in this paper implements linear and nonlinear dimensionality reduction and dimensionality reconstruction with a highly independent for the low-dimensional data.
NETL
NSTL
万方数据
