DocumentCode
315253
Title
Fast binary cellular neural networks
Author
Fajfar, Iztok
Author_Institution
Fac. of Electr. Eng., Ljubljana Univ., Slovenia
Volume
2
fYear
1997
fDate
9-12 Jun 1997
Firstpage
1131
Abstract
We show that for a class of monotonic binary CNNs one can speed up the analog transient by introducing simple non-linear cell interconnections. Employing additional parameter optimization we acquire the speed gain of up to two orders of magnitude
Keywords
cellular neural nets; feedback; optimisation; analog transient; fast binary cellular neural networks; monotonic binary cellular neural networks; nonlinear cell interconnections; parameter optimization; speed gain; Cellular neural networks; Detectors; Nonlinear equations; Output feedback; Switches; Turing machines; Very large scale integration; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.616189
Filename
616189
Link To Document