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Systematic Comparison Of Reservoir Computing Frameworks, Nihar S. Koppolu, Christof Teuscher
Systematic Comparison Of Reservoir Computing Frameworks, Nihar S. Koppolu, Christof Teuscher
Student Research Symposium
In this poster, we present a systematic evaluation and comparison of five Reservoir computing (RC) software simulation frameworks, namely reservoirpy, RcTorch, pyRCN, pytorch-esn, and ReservoirComputing.jl. RC is a specific machine learning approach that leverages fixed, nonlinear systems to map signals into higher dimensions. Its unique strength lies in training only the readout layer, which reduces the training complexity. RC excels in temporal signal processing and is also well suited for various physical implementations. The increasing interest in RC has led to the proliferation of various RC simulation frameworks. Our RC simulation framework evaluation focuses on a feature comparison, documentation quality, …