Chaotic attractor reconstruction using small reservoirs - the influence of topology

arXiv:2402.16888v1 Announce Type: new
Abstract: Forecasting timeseries based upon measured data is needed in a wide range of applications and has been the subject of extensive research. A particularly challenging task is the forecasting of timeseries generated by chaotic dynamics. In recent years reservoir computing has been shown to be an effective method of forecasting chaotic dynamics and reconstructing chaotic attractors from data. In this work strides are made toward smaller and lower complexity reservoirs with the goal of improved …

abstract applications arxiv computing cs.et cs.lg data dynamics forecasting generated influence math.mp math-ph nlin.cd physics.comp-ph research small timeseries topology type