Using Bidirectional Associative Memory Neural Networks to Solve the N-bit Task

Using Bidirectional Associative Memory Neural Networks to Solve the N-bit Task

Nowadays, artificial neural networks can easily solve the N-bit parity problem. However, each time a different level must be learned, the network must be retrained. This, combined with the exponential increase of learning trials required as N grows, make these models too different from how their bio...

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Bibliographic Details
Main Authors: Damiem Rolon-Mérette, Thaddé Rolon-Merette, Sylvain Chartier
Format: Article
Language:English
Published: LibraryPress@UF 2023-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
n-bit parity
artificial neural network
associative memory
neural associative memory
bidirectional associative memory
cognition
learning
memory
counting
rote association
associations
multimodule
nonlinear task
Online Access:https://journals.flvc.org/FLAIRS/article/view/133140
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