Published 1991
| Version v1
Report
Restricted
Using CNLS-net [Connectionist Normalized Local Spline-network] to predict the Mackey-Glass chaotic time series
Creators
- 1. Los Alamos National Lab., NM (USA)
- 2. Maryland Univ., College Park, MD (USA)
Description
We use the Connectionist Normalized Local Spline (CNLS) network to learn the dynamics of the Mackey-Glass time-delay differential equation, for the case τ = 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
Availability note (English)
MF available from INIS under the Report Number; OSTI as DE91007478; NTIS; INIS; US Govt. Printing Office Dep.
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Additional details
Publishing Information
- Imprint Pagination
- 7 p.
- Report number
- LA-UR--91-324
Conference
- Title
- 1991 international joint conference on neural networks (IJCNN).
- Dates
- 8-12 Jul 1991.
- Place
- Seattle, WA (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 22086357
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- DIFFERENTIAL EQUATIONS; FORECASTING; NEURAL NETWORKS; SERIES EXPANSION; SPLINE FUNCTIONS; STATISTICS
- Descriptors DEC
- EQUATIONS; FUNCTIONS; MATHEMATICS
Optional Information
- Contract/Grant/Project number
- Contract W-7405-ENG-36
- Funding organization
- USDOE, Washington, DC (USA).
- Secondary number(s)
- CONF-910779--2.