Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Nur Ezlin Zamri"'
Autor:
Nur 'Afifah Rusdi, Nur Ezlin Zamri, Mohd Shareduwan Mohd Kasihmuddin, Nurul Atiqah Romli, Gaeithry Manoharam, Suad Abdeen, Mohd. Asyraf Mansor
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 29820-29882 (2024)
The current systematic logical rules in the Discrete Hopfield Neural Network encounter significant challenges, including repetitive final neuron states that lead to the issue of overfitting. Furthermore, the systematic logical rules neglect the impac
Externí odkaz:
https://doaj.org/article/bd75417beea34205b685206cf7e10072
Autor:
Nurul Atiqah Romli, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Nur 'Afifah Rusdi, Gaeithry Manoharam, Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, Amierah Abdul Malik
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 22321-22365 (2024)
Evaluating behavioral patterns through logic mining within a given dataset has become a primary focus in current research. Unfortunately, there are several weaknesses in the research regarding the logic mining models, including an uncertainty of the
Externí odkaz:
https://doaj.org/article/bb96c96566734319b76d8d1981cc994f
Autor:
Gaeithry Manoharam, Azleena Mohd Kassim, Suad Abdeen, Mohd Shareduwan Mohd Kasihmuddin, Nur 'Afifah Rusdi, Nurul Atiqah Romli, Nur Ezlin Zamri, Mohd. Asyraf Mansor
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 12090-12127 (2024)
Currently, the discrete Hopfield neural network deals with challenges related to searching space and limited memory capacity. To address this issue, we propose integrating logical rules into the neural network to regulate neuron connections. This app
Externí odkaz:
https://doaj.org/article/05c48455aa084713811f3a30d4fa5ed5
Autor:
Muhammad Aqmar Fiqhi Roslan, Nur Ezlin Zamri, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 22447-22482 (2023)
Discrete Hopfield Neural Network is widely used in solving various optimization problems and logic mining. Boolean algebras are used to govern the Discrete Hopfield Neural Network to produce final neuron states that possess a global minimum energy so
Externí odkaz:
https://doaj.org/article/5354213442994eaaa10a07ca3b48964a
Autor:
Mohd Shareduwan Mohd Kasihmuddin, Nur Shahira Abdul Halim, Siti Zulaikha Mohd Jamaludin, Mohd. Asyraf Mansor, Alyaa Alway, Nur Ezlin Zamri, Siti Aishah Azhar, Muhammad Fadhil Marsani
Publikováno v:
Journal of ICT, Vol 22, Iss 3 (2023)
Online shopping is a multi-billion-dollar industry worldwide. However, several challenges related to purchase intention can impact the sales of e-commerce. For example, e-commerce platforms are unable to identify which factors contribute to the high
Externí odkaz:
https://doaj.org/article/4e0eeda1e941419d8b1020d5a377faea
Autor:
Ju Chen, Yuan Gao, Mohd Shareduwan Mohd Kasihmuddin, Chengfeng Zheng, Nurul Atiqah Romli, Mohd. Asyraf Mansor, Nur Ezlin Zamri, Chuanbiao When
Publikováno v:
Mathematics, Vol 12, Iss 5, p 721 (2024)
The primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under di
Externí odkaz:
https://doaj.org/article/fe84538dc29f4969baf5ad490e59f470
Autor:
Syed Anayet Karim, Nur Ezlin Zamri, Alyaa Alway, Mohd Shareduwan Mohd Kasihmuddin, Ahmad Izani Md Ismail, Mohd. Asyraf Mansor, Nik Fathihah Abu Hassan
Publikováno v:
IEEE Access, Vol 9, Pp 50831-50845 (2021)
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 nonsystematic satisfiability logic is important to improve the f
Externí odkaz:
https://doaj.org/article/f22f3e670c53489baa0b502d423a9b56
Autor:
Suad Abdeen, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Gaeithry Manoharam, Mohd. Asyraf Mansor, Nada Alshehri
Publikováno v:
Mathematics, Vol 11, Iss 4, p 984 (2023)
Recently, a variety of non-systematic satisfiability studies on Discrete Hopfield Neural Networks have been introduced to overcome a lack of interpretation. Although a flexible structure was established to assist in the generation of a wide range of
Externí odkaz:
https://doaj.org/article/97c8d971e80a49fea7fd50a8c7b5651c
Autor:
Vikneswari Someetheram, Muhammad Fadhil Marsani, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Siti Syatirah Muhammad Sidik, Siti Zulaikha Mohd Jamaludin, Mohd. Asyraf Mansor
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4734 (2022)
Real life logical rule is not always satisfiable in nature due to the redundant variable that represents the logical formulation. Thus, the intelligence system must be optimally governed to ensure the system can behave according to non-satisfiable st
Externí odkaz:
https://doaj.org/article/66ad7751c4f345d287566348f7374e8b
Autor:
Siti Syatirah Muhammad Sidik, Nur Ezlin Zamri, Mohd Shareduwan Mohd Kasihmuddin, Habibah A. Wahab, Yueling Guo, Mohd. Asyraf Mansor
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1129 (2022)
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 Dis
Externí odkaz:
https://doaj.org/article/887e1e5e53034829936f966b81c4e66f