Parameters optimization method for the time-delayed reservoir computing with a nonlinear duffing mechanical oscillator.

ABSTRACT: Reservoir computing (RC) is a recently introduced bio-inspired computational framework capable of excellent performances in the temporal data processing, owing to its derivation from the recurrent neural network (RNN). It is well-known for the fast and effective training scheme, as well as the ease of the hardware implementation, but also the problematic sensitivity of its performance to the optimizable architecture parameters. In this article, a particular time-delayed RC with a single clamped-clamped silicon beam resonator that exhibits a classical Duffing nonlinearity is presented and its optimization problem is studied. Specifically, we numerically analyze the nonlinear response of the resonator and find a quasi-linear bifurcation point shift of the driving voltage with the driving fre

SUBMITTER: Zheng TY 

PROVIDER: S-EPMC7806606 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature