From 6817eda7d9f4b5457e17c39ae6a1daf056797bde Mon Sep 17 00:00:00 2001 From: Simon Exner <43469235+0815Creeper@users.noreply.github.com> Date: Wed, 18 Sep 2024 19:01:24 +0200 Subject: [PATCH] "archived" pluto Hybrid Modeling --- docs/src/examples/overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/src/examples/overview.md b/docs/src/examples/overview.md index 90b69e44..a0a6b8b5 100644 --- a/docs/src/examples/overview.md +++ b/docs/src/examples/overview.md @@ -18,8 +18,8 @@ The examples show how to combine FMUs with machine learning ("NeuralFMU") and il ## Workshops [__Pluto workshops__](https://thummeto.github.io/FMI.jl/dev/examples/workshops/): [Pluto](https://plutojl.org/) based notebooks, that can easily be executed on your own Pluto-Setup. - [__Scientific Machine Learning using Functional Mock-up Units__](https://thummeto.github.io/FMI.jl/dev/examples/pluto-src/SciMLUsingFMUs/SciMLUsingFMUs.html): Workshop at JuliaCon 2024 (Eindhoven University, Netherlands) -- [__Hands-on: Hybrid Modeling using FMI__](https://thummeto.github.io/FMI.jl/dev/examples/pluto-src/HybridModelingUsingFMI/HybridModelingUsingFMI.html): Workshop at MODPROD 2024 (Linköping University, Sweden) ## Archived - [__MDPI 2022: Physics-enhanced NeuralODEs in real-world applications__](https://thummeto.github.io/FMIFlux.jl/dev/examples/mdpi_2022/): An example for a NeuralODE in a real world modeling scenario (Contribution in *MDPI Electronics 2022*). - [__Growing Horizon ME-NeuralFMU__](https://thummeto.github.io/FMIFlux.jl/dev/examples/growing_horizon_ME/): Growing horizon training technique for a ME-NeuralFMU. +- [__Hands-on: Hybrid Modeling using FMI__](https://thummeto.github.io/FMI.jl/dev/examples/pluto-src/HybridModelingUsingFMI/HybridModelingUsingFMI.html): Workshop at MODPROD 2024 (Linköping University, Sweden)