论文标题
ERFIT：熵回归拟合MATLAB软件包，用于数据驱动的系统识别基础动态方程
ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations
论文作者
论文摘要
数据驱动的稀疏系统标识成为科学和工程中广泛问题的一般框架。这是在应用机器学习和人工智能算法中越来越重要的问题。在这项工作中，我们开发了熵回归软件包（ERFIT），这是一种使用熵回归方法的MATLAB软件包，用于稀疏系统识别。该代码需要最少的监督，并具有多种选择，使其可以轻松适应科学和工程学的不同问题。 ERFIT可从https://github.com/almomaa/erfit package获得
Data-driven sparse system identification becomes the general framework for a wide range of problems in science and engineering. It is a problem of growing importance in applied machine learning and artificial intelligence algorithms. In this work, we developed the Entropic Regression Software Package (ERFit), a MATLAB package for sparse system identification using the entropic regression method. The code requires minimal supervision, with a wide range of options that make it adapt easily to different problems in science and engineering. The ERFit is available at https://github.com/almomaa/ERFit-Package
