Deep-learning has achieved good performance and demonstrated great potential for solving forward inverse problems. In this work, two categories of innovative deep-learning-based modeling methods are proposed compared. The first category is deep-learning surrogate-based inversion methods, in which the Theory-guided Neural Network (TgNN) constructed as a surrogate problems with uncertain model pa...

In this paper, a novel MIMO Neural NARX model is used for simultaneously modeling and identifying both joints of the 2-axes PAM robot arm’s inverse and forward dynamic model. The highly nonlinear cross effect of both links of the 2-axes PAM robot arm are thoroughly modeled through an Inverse and Forward Neural MIMO NARX Model-based identification process using experimental input-output training...

We have improved the ArtiSynth biomechanical modeling toolkit to meet new challenges in oral, pharyngeal and laryngeal modeling. Our team’s current research efforts have focused on four important developments: 1. patient specific modeling, 2. updating the ArtiSynth simulation engine to support integrated soft and hard tissue models, 3. inverse modeling techniques and 4. computational fluid dyna...