Application of neural networks for the prediction of cartilage stress in a musculoskeletal system
The finite element method is computationally intensive, rigid body models cannot predict stress. Neural network models are created to predict stress from multibody reaction forces. Neural networks learn from finite element and multibody model solutions. End goal: musculoskeletal models that simultaneously predict muscle force and cartilage stress.
neural networks cartilage stress finite element analysis musculoskeletal simulation