Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...
The source code for the paper L. Lu, P. Jin, G. Pang, Z. Zhang, & G. E. Karniadakis. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Nature Machine ...
Abstract: Quantitative feedback theory (QFT) is a frequency domain based robust control design techniques [1]. In this paper, the piecewise linear approximation based linear programming (PLA-LP) ...