Consider the case that you have a regression or a classification problem for which you have trained a neural network. Let's say the you have chosen the network well and it learns to predict the ...

Inferring dynamics of metabolic networks directly from metabolomics data provides a promising way to elucidate the underlying mechanisms of biological systems, as reported in our previous studies ...

Two manipulator Jacobian matrix estimators for constrained planar snake robots are developed and tested, which enables the implementation of Jacobian-based obstacle-aided locomotion (OAL) control ...

Abstract: Deep neural networks (DNNs) are powerful tools with exceptional approximation capabilities across various applications. However, there is still a lack of substantial progress in attaining ...

Abstract: The Jacobian matrix is one of the important parameters for locomotion control of the quadruped robot. Based on the homogenous transformation matrix of the robot, Four Jacobian matrices of ...