DocumentCode
2406371
Title
Some recent results on computing with `neural nets´
Author
Siegelmann, Hava T. ; Sontag, Eduardo D.
Author_Institution
Rutgers Univ., New Brunswick, NJ, USA
fYear
1992
fDate
1992
Firstpage
1476
Abstract
Neural networks, understood here as systems consisting of linearly interconnected dynamical elements (integrators in continuous-time, or delay lines in discrete time) and scalar nonlinearities, provide an appealing model of analog computation. The authors describe some recent results on the approximation properties and the computational capabilities of such dynamical systems
Keywords
analogue computers; delay lines; integrating circuits; neural nets; analog computation; approximation properties; computational capabilities; delay lines; integrators; linearly interconnected dynamical elements; scalar nonlinearities; Analog computers; Computational modeling; Computer networks; Computer science; Delay lines; Mathematical model; Mathematics; Neural networks; Neurons; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371169
Filename
371169
Link To Document