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docs/src/symbolic_ude_tutorial.md

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# Symbolic UDE Creation
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This tutorial will demonstrate a simple interface for symbolic declaration neural networks that can be directly added to ModelingToolkit-declared ODE models to create UDEs. For our example we will use a simple self-activation loop model, however, it can be easily generalised to more model types.
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This tutorial will demonstrate a simple interface for symbolic declaration neural networks that can be directly added to ModelingToolkit-declared ODE models to create UDEs. The primarily functionality we show is the `SymbolicNeuralNetwork` function, however, we will show how it can be incorporated into a full workflow. For our example we will use a simple self-activation loop model, however, it can be easily generalised to more model types.
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### Ground truth model and synthetic data generation
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