Dashan Shang

Nov 6, 2023 | nature.com | Xinyan Li |Dashan Shang |Can Wang |Kuijuan Jin

AbstractReservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dynamic processes could serve as next-generation dynamic computing systems. High-efficiency reservoir systems require nonlinear and dynamic responses to distinguish time-series input data.