Title :
Associative memory integrated circuit based on neural mutual inhibition
Author :
Jalaleddine, S.M.S. ; Johnson, L.G.
Author_Institution :
Dept. of Electr. Eng., Western Michigan Univ., Kalamazoo, MI, USA
fDate :
8/1/1992 12:00:00 AM
Abstract :
Hardware associative or content-addressable memory (CAM) which finds in one operation the nearest match to input data among several templates is very crucial in the design of effective pattern recognition systems. The authors call this type of memory a relaxative CAM (RCAM) as opposed to the traditional exact-match CAM design. A compact implementation of an RCAM calls for the employment of a neural network model. In the paper the design and silicon implementation of an RCAM is presented using a neural mutual inhibition network as the relaxation circuit. SPICE simulations of the mutual inhibition and the RCAM performance are presented. A 16-word by 12-bit IC has been fabricated through MOSIS using 2 μm double-metal CMOS technology. The RCAM chip was tested and its correct functionality has been fully verified
Keywords :
CMOS integrated circuits; computerised pattern recognition; content-addressable storage; integrated memory circuits; neural nets; 192 bit; 2 micron; MOSIS; SPICE simulations; associative memory IC; compact implementation; content-addressable memory; double-metal CMOS technology; neural mutual inhibition; neural network model; pattern recognition systems; relaxation circuit; relaxative CAM;
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings G
