Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability

• Main Authors: Rusdi, Nur ‘Afifah, Zamri, Nur Ezlin, Kasihmuddin, Mohd Shareduwan Mohd, Romli, Nurul Atiqah, Manoharam, Gaeithry, Abdeen, Suad, Mansor, Mohd. Asyraf
• Format: Article
• Language: English
• Published: American Institute of Mathematical Sciences (AIMS) 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/116164/1/116164.pdf; http://psasir.upm.edu.my/id/eprint/116164/; http://www.aimspress.com/article/doi/10.3934/math.20241444

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 impact on the appearance of negative literals within th...