DocumentCode
328256
Title
The continual neurocomputer for signals recognition by their form
Author
Grachev, Leonid V. ; Simorov, Sergey N.
Author_Institution
Sci. Centre of Neurocomput., Acad. of Sci., Moscow, Russia
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
388
Abstract
The article deals with the problem of hardware implementation of neural networks for the signal recognition task. It examines the signals which are recognized by their form by neural networks with variable structure (NNVS). The term "neurocomputer" and its analog variant is discussed. The system for recognizing valid chips using an analog neurocomputer is described.
Keywords
multilayer perceptrons; neural nets; pattern recognition; signal processing; analog neurocomputer; continual neurocomputer; hardware implementation; signals recognition; Analog circuits; Computer architecture; Computer networks; Electric variables; Large scale integration; Network synthesis; Neural network hardware; Neural networks; Read only memory; Signal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.713938
Filename
713938
Link To Document