The Julia Programming Language

Implement second-order ODEs solver using Neural Network in NeuralNetDiffEq.jl [Advanced]

NeuralNetDiffEq is for the development of neural network solvers of differential equations. There is already implemented first-order ODEs solver. It is just needed to understand the existing code in the project and the method itself and add a new feature.

  1. Implement second-order ODEs
  2. Add an example of simple second-order ODE
  3. Add a visualization for the second-order ODE.

This tasks needs some background in Differential Equations and Neural Networks. Please work closely with your mentor if you intend on doing this task.

Task tags

  • differential equation
  • neural networks
  • julia

Students who completed this task

ccl, rayhan.razzak

Task type

  • code Code
close

2019