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
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;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.713938
