Title
A new strategy for designing bidirectional associative memories
Abstract
A comprehensive strategy for bidirectional associative memories (BAMs) is presented, which enhances storage capacity greatly. The design strategy combines the dummy augmentation encoding method with optimal gradient descent algorithm. The proposed method increases the storage capacity performance of BAM to its upper limit compared with original Kosko method and optimal gradient descent algorithm. Computer simulations and comparison are given based on three methods to demonstrate the performance improvement of the proposed strategy.
Year
DOI
Venue
2005
10.1007/11427391_63
ISNN (1)
Keywords
Field
DocType
bidirectional associative memory,performance improvement,original kosko method,design strategy,new strategy,storage capacity,comprehensive strategy,proposed strategy,storage capacity performance,optimal gradient descent algorithm,gradient descent,computer simulation
Gradient method,Design strategy,Gradient descent,Associative property,Search algorithm,Bidirectional associative memory,Computer science,Algorithm,Encoding (memory),Performance improvement
Conference
Volume
ISSN
ISBN
3496
0302-9743
3-540-25912-0
Citations 
PageRank 
References 
9
0.65
5
Authors
3
Name
Order
Citations
PageRank
Gengsheng Zheng1102.02
Sidney Nascimento Givigi26412.40
Weiyu Zheng390.65