Feature-Based Echo-State Networks: An Interpretable and Efficient Approach to Reservoir Computing for Time-Series Prediction
This paper proposes a novel feature-based echo-state network (Feat-ESN) architecture that uses smaller parallel reservoirs driven by different input feature combinations to significantly reduce the computational complexity of traditional ESNs while maintaining predictive performance.