MODEL BANGKITAN PERJALANAN KOTA PALEMBANG MENGGUNAKAN RADIAL BASIS FUNCTION NEURAL NETWORKS

Arliansyah, Joni (2013) MODEL BANGKITAN PERJALANAN KOTA PALEMBANG MENGGUNAKAN RADIAL BASIS FUNCTION NEURAL NETWORKS. Jurnal Transportasi Forum Studi Transportasi Antar-Perguruan Tinggi, 13 (2). pp. 125-134. ISSN 2615-1146

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Abstract

Trip Generation Models in Palembang applying Radial Basis Function Neural Networks (RBFNN) is discussed in this paper. In this study, the data of trip production and land use are derived from the origin destination survey in Palembang in 2009, where the city of Palembang divided into 16 zones. To test the reliability of the model, the results of the RBFNN models are compared with the results of the regression analysis model. The results indicate that RBFNN model can give satisfactory prediction ability and it is better compare with the results of regression analysis where it can be seen from the coefficient of determination (R2) of the two models

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA169.H37 Reliability (Engineering), Engineering design, Civil engineering
Divisions: 03-Faculty of Engineering > 22101-Civil Engineering (S2)
03-Faculty of Engineering > 22201-Civil Engineering (S1)
Depositing User: Dr Joni Arliansyah
Date Deposited: 26 Nov 2019 07:13
Last Modified: 26 Nov 2019 07:13
URI: http://repository.unsri.ac.id/id/eprint/18455

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