Binary Artificial Bee Colony Optimization For Weighted Random 2 Satisfiability In Discrete Hopfield Neural Network

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Binary Artificial Bee Colony Optimization For Weighted Random 2 Satisfiability In Discrete Hopfield Neural Network

One of the alternatives to improve the modeling of the Discrete Hopfield Neural Network is by implementing different variants of logical rules. In this context, Satisfiability is suitable as a logical rule in Discrete Hopfield Neural Network due to the simplicity of the structure, and fault toleranc...

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Bibliographic Details
Main Author:	Muhammad Sidik, Siti Syatirah
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/60482/ http://eprints.usm.my/60482/1/24%20Pages%20from%20SITI%20SYATIRAH%20BINTI%20MUHAMMAD%20SIDIK.pdf

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