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Reinforcement learning control of a biomechanical model of the upper extremity
Below, we first provide details on our biomechanical model. After discussing our general reinforcement learning approach, we focus on the individual components of our method, namely states, actions, scaling factors, rewards, and an adaptive target-selection mechanism. We also provide details on the implementation of our algorithm. Finally, we discuss the methods used for evaluation. Biomechanical […]
Strut and tie model for predicting shear behavior of interior RC beam column joints under seismic loading
Lowes, L. N. & Altoontash, A. Modeling reinforced-concrete beam-column joints subjected to cyclic loading. J. J. Struct. Eng. 12, 1686–1697 (2003). Article Google Scholar Shi, K. et al. Numerical simulation on seismic behavior of steel fiber reinforced concrete beam-column joints. J. Materials 14(17), 4883 (2021). Article ADS Google Scholar Vecchio, F. J. & Collins, M. […]
Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence
Experimental environment and parameters setting The experiment is conducted in a high-performance computing environment, and the specific experimental environment configuration is displayed in Table 1. Table 1 Configuration of experimental environment. The parameters of the model are configured as follows: The input layer of ANN model receives the 3D coordinate data of 20 bone points obtained […]
