Reservoir computing with generalized readout based on generalized synchronization.

ABSTRACT: Reservoir computing is a machine learning framework that exploits nonlinear dynamics, exhibiting significant computational capabilities. One of the defining characteristics of reservoir computing is that only linear output, given by a linear combination of reservoir variables, is trained. Inspired by recent mathematical studies of generalized synchronization, we propose a novel reservoir computing framework with a generalized readout, including a nonlinear combination of reservoir variables. Learning prediction tasks can be formulated as an approximation problem of a target map that provides true prediction values. Analysis of the map suggests an interpretation that the linear readout corresponds to a linearization of the map, and further that the generalized readout corresponds to a highe

SUBMITTER: Ohkubo A 

PROVIDER: S-EPMC11680959 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature