Zobrazeno 1 - 10 of 24 pro vyhledávání: '"Nur 'Afifah Rusdi"'
1
Akademický článek
Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
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
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2
Akademický článek
Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability
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
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3
Akademický článek
Special major 1, 3 satisfiability logic in discrete Hopfield neural networks
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
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4
Akademický článek
Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection
Autor: Nur 'Afifah Rusdi, Mohd Shareduwan Mohd Kasihmuddin, Nurul Atiqah Romli, Gaeithry Manoharam, Mohd. Asyraf Mansor
Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 5, Pp 101554- (2023)
In the perspective of logic mining, the attribute selection, and the objective function of the best logic is the two main factors that identifies the effectiveness of our proposed logic mining model. The non-significant attributes selected will cause
Externí odkaz: https://doaj.org/article/90a5c00c71244e00ba3a39ef80f5cc66
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5
Akademický článek
Log-Linear-Based Logic Mining with Multi-Discrete Hopfield Neural Network
Autor: Gaeithry Manoharam, Mohd Shareduwan Mohd Kasihmuddin, Siti Noor Farwina Mohamad Anwar Antony, Nurul Atiqah Romli, Nur ‘Afifah Rusdi, Suad Abdeen, Mohd. Asyraf Mansor
Publikováno v: Mathematics, Vol 11, Iss 9, p 2121 (2023)
Choosing the best attribute from a dataset is a crucial step in effective logic mining since it has the greatest impact on improving the performance of the induced logic. This can be achieved by removing any irrelevant attributes that could become a
Externí odkaz: https://doaj.org/article/18620871a09a4718acefa8e0bf5dbd56
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6
A Comparison Study of Font Reconstruction Using Differential Evolution
Autor: Nur ‘Afifah Rusdi, Zainor Ridzuan Yahya, Wan Zuki Azman Wan Muhamad, Nurshazneem Roslan
Publikováno v: Lecture Notes in Mechanical Engineering ISBN: 9789811573088
The use of Differential Evolution (DE) to simultaneously optimize parameter \( t \) and middle control points \( \left( {P_{1} } \right. \) and \( \left. {P_{2} } \right) \) of cubic Bezier curve is presented in this paper. The main objective of this
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7db2d9d03c713eb5a710ab2221b9ccb3
https://doi.org/10.1007/978-981-15-7309-5_4
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8
Reconstruction of Medical Images Using Artificial Bee Colony Algorithm
Autor: Wan Zuki Azman Wan Muhamad, Nurshazneem Roslan, Zainor Ridzuan Yahya, Nur ‘Afifah Rusdi
Publikováno v: Mathematical Problems in Engineering, Vol 2018 (2018)
The goal of this study is to assess the efficiency of Artificial Bee Colony (ABC) algorithm in finding the optimal solution of curve fitting problem specifically for medical images. Data of Computed Tomography (CT) images from two different patients
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::260b06b83dec7b79c9e0faee14564794
https://doi.org/10.1155/2018/8024762
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