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Updated: May 15, 2026

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3D集成的多层物理水库阵列用于学习和预测时间序列信息.

Sanghyeon Choi1,2,3, Jaeho Shin1,4, Gwanyeong Park1

  • 1KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

Nature communications
|March 6, 2024
PubMed
概括

研究人员开发了一个广泛的物理水库计算系统,使用一个3D堆叠的memristive横杆阵列. 这种先进的硬件有效地处理多个时间序列数据,用于复杂的学习和预测任务.

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相关概念视频

State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...