Neural networks suffer from spectral bias and have difficulty representing the high-frequency components of a function, whereas relaxation methods can resolve high frequencies efficiently but stall at ...

with all the coefficients are fuzzy numbers. The FNE as follows, $$\begin{aligned} \begin{aligned}&{\tilde{a}}_{1}{\tilde{x}}^{3} + {\tilde{b}}_{1}{\tilde{x}}^{2 ...