Title :
The capacity of associative memory by using new learning and retrieving algorithm
Author :
Kuo, I-Chuan ; Zhang, Zhen
Author_Institution :
Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The second-order Hopfield associative memory has storage capacity of order O(n/log n). To improve the capacity of associative memory, a new storage and retrieval algorithm is proposed in this paper. Using this method, updating of the synaptic matrix is simple
Keywords :
content-addressable storage; learning (artificial intelligence); associative memory capacity; learning algorithm; retrieval algorithm; second-order Hopfield associative memory; storage algorithm; synaptic matrix updating; Associative memory; Information theory; Polynomials; Probes;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400241
