Cite
A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network.
MLA
Karim, Syed Anayet, et al. “A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network.” Mathematics (2227-7390), vol. 10, no. 12, June 2022, p. 1963–N.PAG. EBSCOhost, https://doi.org/10.3390/math10121963.
APA
Karim, S. A., Kasihmuddin, M. S. M., Sathasivam, S., Mansor, M. A., Jamaludin, S. Z. M., & Amin, M. R. (2022). A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network. Mathematics (2227-7390), 10(12), 1963–N.PAG. https://doi.org/10.3390/math10121963
Chicago
Karim, Syed Anayet, Mohd Shareduwan Mohd Kasihmuddin, Saratha Sathasivam, Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, and Md Rabiol Amin. 2022. “A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network.” Mathematics (2227-7390) 10 (12): 1963–N.PAG. doi:10.3390/math10121963.