Add to ORKGAbstract: Most models of Bidirectional associative memories intend to achieve that all trained pattern correspond to stable states; however, this has not been possible. Also, none of the former models has been able to recall all the trained patterns. In this work we introduce a new model of bidirectional associative memory which is not iterative and has no stability problems. It is based on the Alpha-Beta associative memories. This model allows perfect recall of all trained patterns, with no ambiguity and no conditions. An example of fingerprint recognition is presented. Keywords: Bidirectional associative memories, Alpha-Beta associative memories, perfect recall
This paper introduces an associative memory model which associates n-tuples of patterns, employs con...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
In this paper, we present a neural network system related to about memory and recall that consists o...
Abstract — Most models of Bidirectional associative memories intend to achieve that all trained patt...
This paper proposes a general model for bidirectional associative memories that associate patterns b...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
Bidirectional Associative Memories (BAM) based on Kosko’s model are implemented through iterative al...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
We introduce a bidirectional associative memory. The stable points of the memory are natu-rally inte...
An optimal learning scheme is proposed for a class of Bidirectional Associative Memories(BAM's). Thi...
The classical Bidirectional Associative Memory (BAM) allows for the storage of pairs of vectors, suc...
Abstract. Hebbian hetero-associative learning is inherently asymmetric. Storing a forward associatio...
Abstract—Bidirectional associative memory (BAM) general-izes the associative memory (AM) to be capab...
The focus of this work are asociative memories as one type of neural networks. We compare models of ...
A new associative memory model is proposed on the basis of a nonlinear transformation in the Fourier...
This paper introduces an associative memory model which associates n-tuples of patterns, employs con...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
In this paper, we present a neural network system related to about memory and recall that consists o...
Abstract — Most models of Bidirectional associative memories intend to achieve that all trained patt...
This paper proposes a general model for bidirectional associative memories that associate patterns b...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
Bidirectional Associative Memories (BAM) based on Kosko’s model are implemented through iterative al...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
We introduce a bidirectional associative memory. The stable points of the memory are natu-rally inte...
An optimal learning scheme is proposed for a class of Bidirectional Associative Memories(BAM's). Thi...
The classical Bidirectional Associative Memory (BAM) allows for the storage of pairs of vectors, suc...
Abstract. Hebbian hetero-associative learning is inherently asymmetric. Storing a forward associatio...
Abstract—Bidirectional associative memory (BAM) general-izes the associative memory (AM) to be capab...
The focus of this work are asociative memories as one type of neural networks. We compare models of ...
A new associative memory model is proposed on the basis of a nonlinear transformation in the Fourier...
This paper introduces an associative memory model which associates n-tuples of patterns, employs con...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
In this paper, we present a neural network system related to about memory and recall that consists o...