DCBAM: a discrete chainable bidirectional associative memory
Pattern Recognition Letters
A Bidirectional Associative Memory Based on Optimal Linear Associative Memory
IEEE Transactions on Computers
A discrete sequential bidirectional associative memory for multistep pattern recognition
Pattern Recognition Letters
On delayed impulsive Hopfield neural networks
Neural Networks
Morphological bidirectional associative memories
Neural Networks
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Learning and Extracting Edges from Images by a Modified Hopfield Neural Network
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
An Introduction to Morphological Neural Networks
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Feature Selection Using a Hybrid Associative Classifier with Masking Techniques
MICAI '06 Proceedings of the Fifth Mexican International Conference on Artificial Intelligence
Alpha---Beta bidirectional associative memories: theory and applications
Neural Processing Letters
Exponential Bidirectional Associative Memory Based on Small-world Architecture
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 01
Optimized Associative Memories for Feature Selection
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 02
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 02
Chaotic complex-valued bidirectional associative memory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
One shot associative memory method for distorted pattern recognition
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Exponential convergence rate estimation for neutral BAM neural networks with mixed time-delays
Neural Computing and Applications
A new model of BAM: alpha-beta bidirectional associative memories
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Image compression algorithm based on morphological associative memories
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
A new strategy for designing bidirectional associative memories
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Orthogonal schemes for bidirectional associative memories
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Data compression by the recursive algorithm of exponentialbidirectional associative memory
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A general model for bidirectional associative memories
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Mathematical and Computer Modelling: An International Journal
Morphological associative memories
IEEE Transactions on Neural Networks
A feedforward bidirectional associative memory
IEEE Transactions on Neural Networks
Improving Leung's bidirectional learning rule for associative memories
IEEE Transactions on Neural Networks
Stability analysis of bidirectional associative memory networks with time delays
IEEE Transactions on Neural Networks
Encoding strategy for maximum noise tolerance bidirectional associative memory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A bidirectional heteroassociative memory for binary and grey-level patterns
IEEE Transactions on Neural Networks
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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.