CMOS compatible building blocks for reservoir computing
This project was done to learn more about what a PRC is and to compare it against the traditional RNN models. Chaos maps are chosen to be the input due to their chaotic behaviour which serves as a great benchmark for our models. They also serve to test the model’s robustness to noise as well as thei...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176881 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project was done to learn more about what a PRC is and to compare it against the traditional RNN models. Chaos maps are chosen to be the input due to their chaotic behaviour which serves as a great benchmark for our models. They also serve to test the model’s robustness to noise as well as their capability to process temporal and sequential data. In this project, Duffing Map, Gingerbreadman Map and Hénon Map are used as the testbench.
The PRC model and RNN model are pitted against each other in their capability to predict different chaos maps. By measuring the NRMSE value of the output respectively, this experiment proves to show whether a PRC model is much more efficient than a RNN model in using their computational resources. |
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