Asia Pacific University Library catalogue


APPLYING LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORK TO PREDICT TAXI PICKUP DEMAND AT LA GUARDIA AIRPORT / NANDA DWI CHRISTANTO.

By: NANDA DWI CHRISTANTO (TP042870)Contributor(s): Dr. Raja Rajeswary A/P Ponnusamy [Supervisor.]Material type: TextTextPublication details: Kuala Lumpur : Asia Pacific University, 2018Description: 82 p. : ill. ; 30 cmSubject(s): Artificial intelligence | Machine learning | Supervised learning (Machine learning) -- La GuardiaLOC classification: PM-29-73Dissertation note: A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA).
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Reference Collection 		Masters Theses PM-29-73 (Browse shelf (Opens below)) 1 Not for loan 00016161

A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA).

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