具有随机和优化时移的储层计算。
Reservoir computing with random and optimized time-shifts.
作者信息
Del Frate Enrico, Shirin Afroza, Sorrentino Francesco
机构信息
Mechanical Engineering Department, University of New Mexico, Albuquerque, New Mexico 87131, USA.
出版信息
Chaos. 2021 Dec;31(12):121103. doi: 10.1063/5.0068941.
We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error). For different choices of the reservoir parameters and different "tasks," we observe a substantial improvement in both accuracy and performance. We then develop a simple but effective technique to optimize the choice of the time-shifts, which we successfully test in numerical experiments.
我们从准确性（训练误差）和性能（测试误差）两方面研究了对储层计算机的读出值应用随机时间偏移的影响。对于储层参数的不同选择和不同的“任务”，我们观察到准确性和性能都有显著提高。然后，我们开发了一种简单而有效的技术来优化时间偏移的选择，并在数值实验中成功进行了测试。
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