Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability
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 attribute selected in the model, random distributi...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Mathematical Sciences
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114273/ http://psasir.upm.edu.my/id/eprint/114273/1/114273.pdf |