A Note on StiffDNN -- a DNN for Stiff Dynamic Systems
Signal Processing
2019-12-06 v1
Abstract
In this note, we will present a specially designed deep neural network (DNN), which will target components of the solution of different time rate individually through perspective of the Laplace s-transform of the solution. Each segment of s-frequency range will be approximated by a small size DNN separately after a reference central rate is factored out, leaving the rest of the frequencies confined within a short range of rates, and allowing fast and uniform learning by normal DNN.
Keywords
Cite
@article{arxiv.1912.02661,
title = {A Note on StiffDNN -- a DNN for Stiff Dynamic Systems},
author = {Wei Cai},
journal= {arXiv preprint arXiv:1912.02661},
year = {2019}
}