GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network

GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network

One of the main problems in representing information in the form of nonsystematic logic is the lack of flexibility, which leads to potential overfitting. Although nonsystematic logic improves the representation of the conventional <i>k</i> Satisfiability, the formulations of the first, s...

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Bibliographic Details
Main Authors:	Yuan Gao, Yueling Guo, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin, Weixiang Chen, Mohd. Asyraf Mansor, Ju Chen
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Mathematics
Subjects:	G-Type Random <i>k</i> Satisfiability artificial neural network Hopfield Neural Network flexibility random dynamics
Online Access:	https://www.mdpi.com/2227-7390/10/11/1899

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