The BAM is a two-layer heteroassociator that stores a prescribed set of bipolar library pairs. It consists of two layers of neurons. One layer has n neurons and ...
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Abstract: In this paper, we investigate the attraction basin of the bidirectional associative memory (BAM) model. The BAM is a two-layer heteroassociator ...
The multistability problem is discussed for 2n-dimensional bidirectional associative memory (BAM) neural networks with a general class of activation ...
Based on the natural structure of Kosko's Bidirectional Associative Memories (BAM), a high-performance, high-capacity associative neural model is proposed ...
In this paper, we are to develop better learning rules for the bidirectional associative memory (BAM) based on three well-recognized optimal criteria.
The bidirectional associative memory (BAM) behaves as a two-layer hierarchy of symmetrically connected neurons.
We apply genetic algorithms to Hopfield's neural network model of associative memory. Previously, using ternary chromosomes, we successfully evolved both random ...
We use the dynamics to estimate the memory capacity, the attraction basin, and the number of errors in the retrieved items. Extension of the results to higher- ...
In this paper, we are to develop better learning rules for the bidirectional associative memory (BAM) based on three well-recognized optimal criteria, ...
The paper concerns the design of a second-order asymmetric bidirectional associative memory (SOABAM) with a maximal basin of attraction, whose extension to ...