We have hosted the application datadrivendiffeq jl in order to run this application in our online workstations with Wine or directly.


Quick description about datadrivendiffeq jl:

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


Programming Language: Julia.
Categories:
Machine Learning

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