Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization

Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization

Recently, new variants of non-systematic satisfiability logic were proposed to govern Discrete Hopfield Neural Network. This new variant of satisfiability logical rule will provide flexibility and enhance the diversity of the neuron states in the Discrete Hopfield Neural Network. However, there is n...

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Bibliographic Details
Main Authors: Siti Syatirah Muhammad Sidik, Nur Ezlin Zamri, Mohd Shareduwan Mohd Kasihmuddin, Habibah A. Wahab, Yueling Guo, Mohd. Asyraf Mansor
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Mathematics
Subjects:
weighted random 2 satisfiability
binary artificial bee colony
logic phase
discrete Hopfield neural network
Online Access:https://www.mdpi.com/2227-7390/10/7/1129

Internet

https://www.mdpi.com/2227-7390/10/7/1129

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