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When this happens the reservoir does not learn to associate training data states with internal states. We could add lots of initial condition association points to the end of the R and U matrixes to solve this problem. This could potentially sidestep the need for windows and overlap. Maybe call it the anchor matrix, because it anchors one system to the other.
The text was updated successfully, but these errors were encountered:
You probably still need windows because otherwise you end up with one orbit exploring the reservoir space and a bunch of associations of single points without learning how those points evolve in the space.
When this happens the reservoir does not learn to associate training data states with internal states. We could add lots of initial condition association points to the end of the
R
andU
matrixes to solve this problem. This could potentially sidestep the need for windows and overlap. Maybe call it the anchor matrix, because it anchors one system to the other.The text was updated successfully, but these errors were encountered: