Weighted random k satisfiability for k= 1, 2 (r2SAT) in discrete Hopfield neural network

NE Zamri, SA Azhar, MA Mansor, A Alway… - Applied Soft …, 2022 - Elsevier
Current studies on non-systematic satisfiability in Discrete Hopfield Neural Network are able
to avoid production of repetitive final neuron states which improves the quality of global …

Supervised learning perspective in logic mining

MSM Kasihmuddin, SZM Jamaludin, MA Mansor… - Mathematics, 2022 - mdpi.com
Creating optimal logic mining is strongly dependent on how the learning data are structured.
Without optimal data structure, intelligence systems integrated into logic mining, such as an …

A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of …

NE Zamri, MA Mansor, MSM Kasihmuddin… - Expert Systems with …, 2024 - Elsevier
Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …

YRAN2SAT: A novel flexible random satisfiability logical rule in discrete hopfield neural network

Y Guo, MSM Kasihmuddin, Y Gao, MA Mansor… - … in Engineering Software, 2022 - Elsevier
The current development of the satisfiability logical representation in Discrete Hopfield
Neural Network has two prominent perspectives which are systematic and non-systematic …

PRO2SAT: Systematic probabilistic satisfiability logic in discrete hopfield neural network

J Chen, MSM Kasihmuddin, Y Gao, Y Guo… - … in Engineering Software, 2023 - Elsevier
Satisfiability is prominent in the field of computer science and mathematics because SAT
provides an alternative to represent the knowledge of any datasets. Fueled by this nature …

Multi-discrete genetic algorithm in hopfield neural network with weighted random k satisfiability

NE Zamri, SA Azhar, SSM Sidik, MA Mansor… - Neural Computing and …, 2022 - Springer
Abstract The existing Discrete Hopfield Neural Network with systematic Satisfiability models
produced repetition of final neuron states which promotes to overfitting global minima …

Random satisfiability: A higher-order logical approach in discrete Hopfield Neural Network

SA Karim, NE Zamri, A Alway, MSM Kasihmuddin… - IEEE …, 2021 - ieeexplore.ieee.org
A conventional systematic satisfiability logic suffers from a nonflexible logical structure that
leads to a lack of interpretation. To resolve this problem, the advantage of introducing …

Amazon employees resources access data extraction via clonal selection algorithm and logic mining approach

NE Zamri, MA Mansor, MS Mohd Kasihmuddin… - Entropy, 2020 - mdpi.com
Amazon. com Inc. seeks alternative ways to improve manual transactions system of granting
employees resources access in the field of data science. The work constructs a modified …

[PDF][PDF] Logic Mining in League of Legends.

LC Kho, MSM Kasihmuddin… - … Journal of Science …, 2020 - pertanika2.upm.edu.my
Since its debut in 2009, League of Legends (LoL) has been on a rise in becoming an
extremely favoured multiplayer online battle arena (MOBA) game. This paper presented a …

Major 2 satisfiability logic in discrete Hopfield neural network

A Alway, NE Zamri, SA Karim, MA Mansor… - … Journal of Computer …, 2022 - Taylor & Francis
Existing satisfiability (SAT) is composed of a systematic logical structure with definite literals
in a set of clauses. The key problem of the existing SAT is the lack of interpretability of a …