A Novel Dynamic Evolutionary Model Integrating Discrete Hopfield Neural Networks With Satisfiability Problems And Its Applications In Image Encryption And Decryption
This thesis proposes a series of innovative DHNN-SAT variants and their applications. To address the inefficiency of traditional DHNN-SAT networks in solving SAT problems with dynamic constraints, a Dynamically Evolving Discrete Hopfield-SAT Neural Network with a flexible and scalable architecture i...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Online Access: | http://eprints.usm.my/63794/1/Pages%20from%20FENG%20CAICAI%20-%20TESIS.pdf http://eprints.usm.my/63794/ |
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