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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-10-27
摘要
Reservoir computing is a 機器學習 paradigm that uses a high-dimensional dynamical system, or reservoir, to approximate and predict time series data. The scale, speed, and power usage of reservoir computers could be enhanced by constructing reservoirs out of electronic circuits, and several experimental studies have demonstrated promise in this direction. However, designing quality reservoirs requires a precise understanding of how such circuits process and store 資訊. We analyze the feasibility and optimal design of electronic reservoirs that include both linear elements (resistors, inductors, and capacitors) and 非線性 memory elements called memristors. We provide analytic results regarding the feasibility of these reservoirs and give a systematic characterization of their 計算 properties by examini
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