Unverified Commit c1240cdb authored by Hendrik Kleikamp's avatar Hendrik Kleikamp Committed by René Fritze

[docs] updated section on ANNs in release notes

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......@@ -28,13 +28,17 @@ of the solutions and the output with respect to the parameters.
Neural network reductor for non-stationary problems
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new reductor based on neural networks which deals with non-stationary problems was
added in `[#1120] <https://github.com/pymor/pymor/pull/1120>`_. The usage of this
reductor is presented in a corresponding demo where a Burgers' type equation is
solved. As in the stationary case, the implementation allows for several
customizations regarding the network architecture and training parameters.
- `[#1175] Randomly shuffle training data before splitting <https://github.com/pymor/pymor/pull/1205>`_
A reductor based on neural networks which deals with non-stationary problems was
added in `[#1120] <https://github.com/pymor/pymor/pull/1120>`_. The approach is an
extension of the approach for stationary problems that was already implemented in
pyMOR. Here, the time component is treated as an ordinary parameter. The usage of
the newly introduced reductor is presented in a corresponding demo where a Burgers'
type equation is solved. As in the stationary case, the implementation allows for
several customizations regarding the network architecture and training parameters.
To make training of neural networks more robust, the available data is now shuffled
randomly before splitting it into training and validation set
`[#1175] <https://github.com/pymor/pymor/pull/1175>`_.
New tutorials
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