MODEL BANGKITAN PERJALANAN KOTA PALEMBANG MENGGUNAKAN RADIAL BASIS FUNCTION NEURAL NETWORKS (Similiarity)

Arliansyah, Joni (2013) MODEL BANGKITAN PERJALANAN KOTA PALEMBANG MENGGUNAKAN RADIAL BASIS FUNCTION NEURAL NETWORKS (Similiarity). Forum Studi Transportasi antar-Perguruan Tinggi (FSTPT).

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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: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
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 07:15
Last Modified: 06 Dec 2019 02:56
URI: http://repository.unsri.ac.id/id/eprint/18457

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