Pulse Repetition Interval Time Series Modeling for Radar Waves using Long Short-Term Memory Artificial Recurrent Neural Networks
This project is a performance study of Long Short-Term Memory artificial neural networks in the context of a specific time series prediction problem consisting of radar pulse trains. The network is tested both in terms of accuracy on a regular time series but also on an incomplete time series where...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Avdelningen för beräkningsvetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-377865 |