Deep learning enabled invisibility cloak design
Invisibility cloak has become a hot topic recently, and development has been working on it. In this project, approach is made to reduce scattering of invisibility cloak using optimization and deep leaning techniques. Two different approaches were experimented in this project, first one was usi...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163566 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Invisibility cloak has become a hot topic recently, and development has been working on
it. In this project, approach is made to reduce scattering of invisibility cloak using
optimization and deep leaning techniques. Two different approaches were experimented in
this project, first one was using Optimization Toolbox optimized parameters to train a MLP
model. The second one was by using Global Optimization Toolbox’s MultiStart solver to
optimize parameters. After analyzing, the second one yields a better performance which
resulted in lower scattering energy, with the only downside of longer computation time. |
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