Reservoir Computing In Embedded Systems Three Variants Of The Reservoir Algorithm
IEEE CONSUMER ELECTRONICS MAGAZINE(2017)
摘要
The rich computational dynamics coupled with simple training in reservoir computing (RC) algorithms makes them a natural choice for spatiotemporal learning systems in embedded platforms. In this article, we study three variants of the reservoir algorithm: the echo-state network (ESN), the liquid-state machine (LSM), and the time-delay reservoirs (TDRs). A digital reservoir architecture is used as a baseline test bed to benchmark for epileptic seizure detection. An average accuracy of 85% is observed across the three variants of the algorithm and the effectiveness of the reservoir is assessed with different metrics.
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关键词
Algorithm design and analysis,Neurons,Topology,Embedded systems,Consumer electronics
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