In this paper, we are to develop better learning rules for the bidirectional associative memory (BAM) based on three well-recognized optimal criteria, ...
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Attempted to develop better learning rules for the bidirectional associative memory (BAM) by exploring the equivalence between the stability of all desired ...
In this paper, we are to develop better learning rules for the bidirectional associative memory (BAM) based on three well-recognized optimal criteria.
A new method is proposed, in which training patterns are multimodalized by attaching random numbers to them if it is estimated that learning is not ...
Borrowing the idea of the perceptron, bidirectional learning (BL) is proposed to enhance the recall performance of bidirectional associative memory (BAM).
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Leung (1994) introduced a perceptron-like learning rule to enhance the recall performance of bidirectional associative memories (BAMs).
Oct 6, 2021 · Consider the value of M, as BAM will be constructed with M pairs of patterns. · Set A: Input Patterns · Set B: Corresponding Target Patterns ...
Bidirectional Associative Memory (BAM) is a type of artificial neural network that enables the storage and retrieval of heterogeneous pattern pairs, ...
An adaptive BAM allows M to rapidly learn associations without supervision. Stable short-term memory reverberations across FA and FB gradually seep pattern ...
Nov 17, 2022 · In this paper we investigate the equilibrium properties of bidirectional associative memories (BAMs). Introduced by Kosko in 1988 as a generalization of the ...