Title :
VLSI design of cellular neural networks with annealing and optical input capabilities
Author :
Sheu, Bing J. ; Bang, Sa H. ; Fang, Wai-Chi
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fDate :
30 Apr-3 May 1995
Abstract :
A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. Circuits with annealing ability are included to achieve optimal solutions for many selected applications
Keywords :
VLSI; cellular neural nets; integrated circuit design; neural chips; VLSI; annealing; cellular neural networks; continuous-time shift-invariant CNN; digitally-programmable operators; high-speed applications; locally connected system; massively paralleled computing system; optical input capabilities; synaptic operators; Annealing; Cellular neural networks; Computer networks; Concurrent computing; High speed optical techniques; Optical computing; Optical design; Optical fiber networks; Real time systems; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521598
