DocumentCode
1876899
Title
Identification of nonlinear systems with evolving networks
Author
Wasniowski, Richard A.
Author_Institution
Sandia Res. Center, Albuquerque, NM, USA
Volume
3
fYear
1996
fDate
18-21 Aug 1996
Firstpage
1001
Abstract
This paper discusses and shows how computation intensive nonlinear identification problems can be computed efficiently using evolving networks and clusters of workstations. Simulations are conducted to study the performance of this approach with different nonlinear systems. Results of developing parallel algorithms for system identification are discussed
Keywords
identification; neural nets; nonlinear systems; parallel algorithms; simulation; evolving network; identification; nonlinear system; parallel GMDH algorithm; simulation; workstation cluster; Computational modeling; Computer networks; Data handling; Nonlinear dynamical systems; Nonlinear systems; Parallel algorithms; Polynomials; Signal processing; System identification; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location
Ames, IA
Print_ISBN
0-7803-3636-4
Type
conf
DOI
10.1109/MWSCAS.1996.592846
Filename
592846
Link To Document