Download
DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings.
Features
- There are two main types of estimation, depending on if you need the result to be human-understandable
- Structural identification
- Structural estimation
- Human-readable result in symbolic form
- Predicts the derivative and generates a correct time series, but is not necessarily human-readable
- Examples available
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow DataDrivenDiffEq.jl
Other Useful Business Software
Rezku Point of Sale
Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DataDrivenDiffEq.jl!
