DocumentCode
306835
Title
Learning dynamical systems in a stationary environment
Author
Campi, M.C. ; Kumar, P.R.
Author_Institution
Dept. of Electr. Eng. & Autom., Brescia Univ., Italy
Volume
2
fYear
1996
fDate
11-13 Dec 1996
Firstpage
2308
Abstract
The emerging field of learning theory, pioneered by Vapnik and Chervonenkis (1971, 1981) has by and large been focused on the problem of learning static relations. As an initial attempt to extend this approach to system identification, we examine the problem of learning input-output relations in a stationary environment
Keywords
identification; learning (artificial intelligence); probability; dynamical systems; input-output relations; learning theory; stationary environment; Additive noise; Automation; Casting; Probability distribution; Q measurement; System identification; Uniform resource locators; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.573117
Filename
573117
Link To Document