Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
Abstract: The authors considered the solution of boundary problems, arising from objects modeling with distributed parameters, of radial basis functions networks. The gradient algorithms analysis for ...