Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation
- DOI
- 10.1371/journal.pone.0286874
- Published
- 2023-09-25
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0286874,
title = {Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation},
author = {Ghassan Ahmed Ali and Hamza Abubakar and Shehab Abdulhabib Saeed Alzaeemi and Abdulkarem H. M. Almawgani and Adel Sulaiman and Kim Gaik Tay},
year = {2023},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0286874},
url = {https://doi.org/10.1371/journal.pone.0286874}
}RIS
TY - JOUR TI - Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation AU - Ghassan Ahmed Ali AU - Hamza Abubakar AU - Shehab Abdulhabib Saeed Alzaeemi AU - Abdulkarem H. M. Almawgani AU - Adel Sulaiman AU - Kim Gaik Tay PY - 2023 JO - PLOS ONE DO - 10.1371/journal.pone.0286874 UR - https://doi.org/10.1371/journal.pone.0286874 ER -
APA
Ali, G. A., Abubakar, H., Alzaeemi, S. A. S., Almawgani, A. H. M., Sulaiman, A., & Tay, K. G. (2023). Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation. PLOS ONE. https://doi.org/10.1371/journal.pone.0286874
Source records
- crossref · retrieved 2026-09-27T05:50:55.165Z