Unverified Commit 05390814 authored by René Fritze's avatar René Fritze Committed by GitHub

[docs] Update of section on ANNs in release notes (#1220)

parents 7a933ef2 c1240cdb
Pipeline #70189 failed with stages
in 122 minutes and 57 seconds
......@@ -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
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment