Title :
Associative cellular memory
Author :
Vanhala, Jukka ; Kaski, Kimmo
Author_Institution :
Microelectron. Lab., Tampere Univ. of Technol., Finland
fDate :
27 Jun-2 Jul 1994
Abstract :
A new content addressable associative memory structure, associative cellular memory, is proposed. It is composed of simple associative memory cells that are embedded in a regular low dimensional grid and interconnected locally within a neighborhood of a limited distance. This paper describes the ideas behind associative cellular memory and gives an example in the field of pattern recognition. The associative cellular memory, the Kanerva´s sparse distributed memory, and the Hopfield network are compared in terms of memory capacity, run-time efficiency and information density
Keywords :
content-addressable storage; Hopfield network; associative cellular memory; content-addressable associative memory structure; information density; local interconnection; memory capacity; pattern recognition; regular low dimensional grid; run-time efficiency; sparse distributed memory; Associative memory; Biological neural networks; Biological system modeling; Brain modeling; CADCAM; Cellular neural networks; Chemical elements; Computer aided manufacturing; Neurons; Random access memory;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374345
