A Neural Associative Pattern Classifier
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Associative morphological memories based on variations of the kernel and dual kernel methods
Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
Alpha---Beta bidirectional associative memories: theory and applications
Neural Processing Letters
A Design Method of Associative Memory Model with Expecting Fault-Tolerant Field
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
IEEE Transactions on Neural Networks
Complexity of alpha-beta bidirectional associative memories
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A new model of BAM: alpha-beta bidirectional associative memories
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Suitability of two associative memory neural networks to character recognition
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Bidirectional associative memories: Different approaches
ACM Computing Surveys (CSUR)
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In contrast to conventional feedback bidirectional associative memory (BAM) network models, a feedforward BAM network is developed based on a one-shot design algorithm of O(p2(n+m)) computational complexity, where p is the number of prototype pairs and n, m are the dimensions of the input/output bipolar vectors. The feedforward BAM is an n-p-m three-layer network of McCulloch-Pitts neurons with storage capacity 2min{m,n} and guaranteed perfect bidirectional recall. The overall network design procedure is fully scalable in the sense that any number p⩽2min{m,n} of bidirectional associations can be implemented. The prototype patterns may be arbitrarily correlated. With respect to inference performance, it is shown that the Hamming attractive radius of each prototype reaches the maximum possible value. Simulation studies and comparisons illustrate and support these theoretical developments