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- Title
Method of forecasting energy center positions of laser beam spot images using a parallel hierarchical network for optical communication systems.
- Authors
Timchenko, Leonid I.; Kokryatskaya, Natalia I.; Melnikov, Viktor V.; Kosenko, Galina L.
- Abstract
A forecasting method, based on the parallel-hierarchical (PH) network and hyperbolic smoothing of empirical data, is presented in this paper. Preceding values of the time series, hyperbolic smoothing, and PH network data are used for forecasting. To determine a position of the next route fragment in relation to X and Y axes, hyperbola parameters are sent to the route parameter forecasting system. In the results synchronization block, network-processed data arrive to the database where a sample of most correlated data is drawn using service parameters of the PH network. An average prediction error is 0.55% for the developed method and 1.62% for neural networks. That is why, due to the use of the PH network and hyperbolic smoothing, the developed method is more efficient for real-time systems than traditional neural networks in forecasting energy center positions of laser beam spot images for optical communication systems.
- Subjects
ENERGY parks; LASER beams; PHOTON beams; OPTICAL communications; PHOTONICS
- Publication
Optical Engineering, 2013, Vol 52, Issue 5, p1
- ISSN
0091-3286
- Publication type
Article
- DOI
10.1117/1.OE.52.5.055003