Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs

T. De Ryck, S. Mishra, Y. Shang +1

We present approximation results and numerical experiments for the use of randomized neural networks within physics-informed extreme learning machines to efficiently solve high-dim…