IEEE

Approximation-Based Optimization of Nonlinear Functions Using Taylor Series Expansion and Radial Basis Functions

Abstract: This paper explores Taylor Series Expansion and Radial Basis Function (RBF)approximation methods for solving optimization problems. Ten benchmark functions are tested using Sequential ...
IEEE

Neural Network Models for Predicting Magnetization Surface Switched Reluctance Motor: Classical, Radial Basis Function, and Physics-Informed Techniques

Abstract: Neural networks have increasingly been utilized in electric drive systems to enhance modeling, control, and optimization. These data-driven techniques enable accurate predictions of complex ...