Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection

Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection

In the perspective of logic mining, the attribute selection, and the objective function of the best logic is the two main factors that identifies the effectiveness of our proposed logic mining model. The non-significant attributes selected will cause the Discrete Hopfield Neural Network to learned a...

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Bibliographic Details
Main Authors: Nur 'Afifah Rusdi, Mohd Shareduwan Mohd Kasihmuddin, Nurul Atiqah Romli, Gaeithry Manoharam, Mohd. Asyraf Mansor
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Multi-unit Discrete Hopfield Neural Network
Higher order satisfiability
Logic mining
Supervised learning
Permutation
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823001003

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http://www.sciencedirect.com/science/article/pii/S1319157823001003

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