Using CNLS-net (Connectionist Normalized Local Spline-network) to predict the Mackey-Glass chaotic time series
Conference
·
OSTI ID:5749339
- Los Alamos National Lab., NM (USA)
- Los Alamos National Lab., NM (USA) Maryland Univ., College Park, MD (USA)
We use the Connectionist Normalized Local Spline (CNLS) network to learn the dynamics of the Mackey-Glass time-delay differential equation, for the case {tau} = 30. We show the optimum network operating mode and determine the accuracy and robustness of predictions. We obtain pedictions of varying accuracy using some 2--120 minutes of execution time on a Sun SPARC-1 workstation. CNLS-net is capable of very good performance in predicting the Mackey-Glass time series. 11 refs., 4 figs.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (USA)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 5749339
- Report Number(s):
- LA-UR-91-324; CONF-910779-2; ON: DE91007478
- Resource Relation:
- Conference: 1991 international joint conference on neural networks (IJCNN), Seattle, WA (USA), 8-12 Jul 1991
- Country of Publication:
- United States
- Language:
- English
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