Dynamic effects on reservoir computing with a Hopf oscillator
Md Raf E Ul Shougat, Xiaofu Li, Edmon Perkins
Abstract
Limit cycle oscillators have the potential to be resourced as reservoir computers due to their rich dynamics. Here, a Hopf oscillator is used as a physical reservoir computer by discarding the delay line and time-multiplexing procedure. A parametric study is used to uncover computational limits imposed by the dynamics of the oscillator using parity and chaotic time-series prediction benchmark tasks. Resonance, frequency ratios from the Farey sequence, and Arnold tongues were found to strongly affect the computation ability of the reservoir. These results provide insights into fabricating physical reservoir computers from limit cycle systems.
Topics & Concepts
Reservoir computingLimit cycleFarey sequenceBenchmark (surveying)ComputationChaoticLimit (mathematics)Computer scienceHopf bifurcationStatistical physicsMathematicsAlgorithmPhysicsNonlinear systemBifurcationMathematical analysisQuantum mechanicsArtificial neural networkGeographyGeodesyMachine learningRecurrent neural networkArtificial intelligenceNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingOptical Network Technologies