Traffic volume prediction using LSTM improved with rules obtained from anomalies

---

Thesis Type: Postgraduate

Institution Of The Thesis: Middle East Technical University, Faculty of Engineering, Department of Computer Engineering, Turkey

Approval Date: 2021

Thesis Language: English

Student: YASİN BERK GÜLTEKİN

Principal Supervisor (For Co-Supervisor Theses): İsmail Hakkı Toroslu

Co-Supervisor: Cevat Şener