Conditional random k satisfiability modeling for k = 1, 2 (CRAN2SAT) with non-monotonic Smish activation function in discrete Hopfield neural network

Conditional random k satisfiability modeling for k = 1, 2 (CRAN2SAT) with non-monotonic Smish activation function in discrete Hopfield neural network

The current development of logic satisfiability in discrete Hopfield neural networks (DHNN)has been segregated into systematic logic and non-systematic logic. Most of the research tends to improve non-systematic logical rules to various extents, such as introducing the ratio of a negative literal an...

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Bibliographic Details
Main Authors: Nurshazneem Roslan, Saratha Sathasivam, Farah Liyana Azizan
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
discrete hopfield neural network (dhnn)
conditional random two satisfiability
non-systematic logic
activation functions
smish activation function
potential logic mining
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024193?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024193?viewType=HTML

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