Research Article
A Digital Twin-Based Visual Servoing with Extreme Learning Machine and Differential Evolution
Algorithm 1
Framework of the proposed EA-ELM-IBVS.
| Input | | : the input training set, the size is | | : the output training set, the size is | | the input validation set, the size is | | : the output validation set, the size is | | Output | | : the camera cartesian space velocity | | Begin | | Normalized and in ; | | ; | | ; | | ; | | fordo | | Output value of hidden layer ; | | Activation function ; | | Output weight matrix ; | | Output value of hidden layer ; | | Activation function | | ; | | | | end for | | fordo | | ; | | ; | | ; | | end for | | get optimal value based on ; | | Return; | | end |
|