Tester
This section provides basic examples demonstrating how to use
the SMArtInt library for integrating neural networks into Modelica
simulations.
Included Examples
- PI Controller
Example
Demonstrates the use of Recurrent Neural Networks (RNNs),
including:
- A stateless RNN with 250 historical input values
- A stateful RNN (sRNN) variant
- Pipe Heat
Transfer Example
Replaces a physical pipe model with a Feed-Forward Neural Network.
A batched input is used to simulate the spatial
discretization.
Both examples are provided for ONNX and TFLite
versions of the neural networks and include a corresponding
physics-based reference model for comparison.
Contents
Generated at 2026-06-23T20:19:05Z by OpenModelicaOpenModelica 1.26.9 using
GenerateDoc.mos