The Application of Long Short Time Memory Neural Network- Freeway No. 5 as an Example
| Autor: | WEN CHEN -YU, 溫振宇 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 A precise forecast of traffic may help people avoiding possible traffic congestions. In this paper, we will apply the LSTM to predict the speed of vehicle flow in Freeway No. 5 by using the data from Freeway Bureau, MOTC. The results of experiments show that LSTM is able to supply a good prediction, and we may use it to analyze the traffic of Freeway No. 5. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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