Emergence of a stochastic resonance in machine learning

• DOI: 10.48550/arxiv.2211.09955
• Publication Date: 2022-01-01
• Authors: Zheng-Meng Zhai; Lingwei Kong; Ying–Cheng Lai
• Keywords: Stochastic Resonance; Hyperparameter

Can noise be beneficial to machine-learning prediction of chaotic systems? Utilizing reservoir computers as a paradigm, we find that injecting the training data can induce stochastic resonance with significant benefits both short-term state variables and long-term attractor system. A key inducing is include amplitude in set hyperparameters for optimization. By so doing, accuracy, stability horizon dramatically improved. The phenomenon demonstrated using two prototypical high-dimensional systems.