Name
Abstract | ||
|---|---|---|
Bidirectional Associative Memories (BAM) are systems that allow to associate pairs of patterns. Once a memory has learned, patterns can be recalled in two directions. BAMs have many applications in pattern recognition and image processing. The aim of this survey is to present several models of BAM throughout time, since Kosko [1988] proposed the first model; followed by those works based on or inspired by it, trying to improve recall capacity; to some recent one-shot models—such as Morphological BAM and Alpha-Beta BAM—which are of particular interest, given their superior performance. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2431211.2431217 | ACM Comput. Surv. |
Keywords | Field | DocType |
bidirectional associative memory,recent one-shot model,pattern recognition,morphological bam,recall capacity,bidirectional associative memories,image processing,associate pair,particular interest,alpha-beta bam,different approach,superior performance | Associative property,Computer science,Bidirectional associative memory,Image processing,Artificial intelligence,Recall | Journal |
Volume | Issue | ISSN |
45 | 2 | 0360-0300 |
Citations | PageRank | References |
7 | 0.54 | 54 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Elena Acevedo-Mosqueda | 1 | 7 | 0.54 |
| Cornelio Yáñez-Márquez | 2 | 153 | 26.34 |
| Marco Antonio Acevedo-Mosqueda | 3 | 7 | 0.88 |