Dual optimization approach in discrete Hopfield neural network
Having effective learning and retrieval phases of satisfiability logic in Discrete Hopfield Neural Network models ensures optimal synaptic weight management, which consequently leads to the production of optimal final neuron states. However, the problem with this model is that different initial stat...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113648/ https://linkinghub.elsevier.com/retrieve/pii/S1568494624007038 |
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