DocumentCode :
3416455
Title :
A system identification perspective on neural nets
Author :
Ljung, Lennart ; Sjöberg, Jonas
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Sweden
fYear :
1992
fDate :
31 Aug-2 Sep 1992
Firstpage :
423
Lastpage :
435
Abstract :
The authors review some of the basic system identification machinery to reveal connections with neural networks. In particular, they point to the role of regularization in dealing with model structures with many parameters, and show the links to overtraining in neural nets. Some provisional explanations for the success of neural nets are also offered
Keywords :
identification; neural nets; model structures; neural nets; overtraining; regularization; system identification; Art; Buildings; Footwear; Machinery; Mathematical model; Neural networks; Signal processing; Statistics; System identification; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
Conference_Location :
Helsingoer
Print_ISBN :
0-7803-0557-4
Type :
conf
DOI :
10.1109/NNSP.1992.253670
Filename :
253670
Link To Document :
بازگشت