Yong Wang, Shiqiang Hu* School of Aeronautics and Astronautics Shanghai Jiao Tong University, Shanghai [email protected], [email protected] Abstract—In this paper, a novel prediction algorithm is proposed to predict chaotic time series. The chaotic time series can be embedded into state space by Takens embedding theorem. The one dimensional data is mapped to a higher dimensional space that pr...

Photonic computing has been intensively studied to explore the ultrahigh bandwidth of lightwaves. However, electronic support is indispensable for post-processing and control photonic systems owing difficulties encountered in all-optical processing. Herein, we demonstrate an ultrafast silicon circuitry capable conducting thresholding operations on incoming chaotically oscillating high-bandwidth...

One of the main problems in chaotic time series prediction is that the underlying nonlinear dynamics is usually unknown. Using a nonlinear predictor to predict a chaotic time series usually puts a limit on the accuracy since the nonlinear predictor is basically an approximation of the unknown nonlinear mapping. In this paper, we propose using fusion of predictors as a method to improve the perf...