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Effective Training Principles of Physical Reservoirs

arXiv:2606.10130v1 Announce Type: new Abstract: Reservoir computers benefit from the inherent complexity of optical phenomena, which provide rich, often nonlinear dynamics. However, training directly on the reservoir's output renders the system prone to overfitting and computationally inefficient during the training phase. In this work, we investigate strategies to mitigate overfitting and reduce computational overhead through output pruning and regularization.

arXiv Physics 17h ago

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