Litcius/Paper detail

Inverted input method for computing performance enhancement of the ion-gating reservoir

Yu Yamaguchi, Daiki Nishioka, Wataru Namiki, Takashi Tsuchiya, Masataka Imura, Yasuo Koide, Tohru Higuchi, Kazuya Terabe

2024Applied Physics Express10 citationsDOIOpen Access PDF

Abstract

Abstract Physical reservoir computing (PRC) is useful for edge computing, although the challenge is to improve computational performance. In this study, we developed an inverted input method, the inverted input is additionally applied to a physical reservoir together with the original input, to improve the performance of the ion-gating reservoir. The error in the second-order nonlinear equation task was 7.3 × 10 −5 , the lowest error in reported PRC to date. Improvement of high dimensionality by the method was confirmed to be the origin of the performance enhancement. This inverted input method is versatile enough to enhance the performance of any other PRC.

Topics & Concepts

GatingComputer scienceCurse of dimensionalityPerformance improvementNonlinear systemTask (project management)AlgorithmArtificial intelligencePhysicsEngineeringBiophysicsOperations managementSystems engineeringQuantum mechanicsBiologyNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingOptical Network Technologies