ReFANN¶
ReFANN (Reconstruct Functions with Artificial Neural Network)
ReFANN is a nonlinear interpolating tool based on ANN, without assuming a model or parameterization. It can reconstruct functions from data with no assumption to the data, and is a completely data-driven approach.
It is proposed by Guo-Jian Wang, Xiao-Jiao Ma, Si-Yao Li, Jun-Qing Xia (2020).
How to use ReFANN¶
First, you are probably going to needs to see the Introduction guide to learn the basic principles of ReFANN. After that, you may need to install refann on your computer according to the Installation guide, and then following the Quick Start guide to learn how to use it. If you need more detailed information about a specific function, the Package Reference below should have what you need.