Title :
Fast binary cellular neural networks
Author_Institution :
Fac. of Electr. Eng., Ljubljana Univ., Slovenia
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616189
