Evolutionary Algorithm for Reservoir Learning and Yielding

ArXi:2605.30372v1 Announce Type: cross Reservoir computing, a type of recurrent neural network, is a promising approach for temporal learning as it separates dynamic processing from the trained readout layer. However, classical Echo State Networks (ESNs) often require task-specific tuning of their architecture and hyperparameters to achieve good performance. This paper