For the transition, bifurcation of potential function is utilized.
The C-SVC (C-Support Vector Classification) model was employed in this study with the punitive coefficient C, and RBF (Radial Basis Function) kernel function was utilized to deal with the high-dimension variables.
Kosambi mapping function was utilized to estimate the map distances.
Two functions were utilized for trajectory assistance and goal assistance.
In addition, the selection of an optimal basis function is conducted to separate the useful basis function terms from the full set of the basis function.
Two surrogate approaches named Kriging and optimized radial basis function (ORBF) are utilized to construct ROMs.
Two ANNs model, feed forward back propagation, FFBP, and radial basis function, RBF, were utilized to predict the depth of the scour hole.
Here, Multiquadric radial basis function (MQ-RBF) is utilized for the proposed method M3.
The radial basis function neural network is utilized to construct the input for the system.
A radial basis function (RBF) network is utilized in the feedforward control to approximate the unknown inverse dynamics.
