DSpace
 

University of Jos Institutional Repository >
Natural Sciences >
Physics >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3436

Title: Python codes for LM, ANN, L2 and BR algorithms
Authors: Yaks, Mafuyai
Mabur
Keywords: Python code
Optimization
Parameter estimate
LM,
ANN
L2
BR
traffic flow
Fundamental diagram
speed-density model
Issue Date: 21-Nov-2023
Series/Report no.: V1;
Abstract: The files contain python codes for optimization using Levenberg-Marquardt algorithm, Artificial Neural Network, L2, and Bayesian Regularization for use in optimization of models in traffic flow.
Description: Speed-density models used in traffic study
URI: http://hdl.handle.net/123456789/3436
Appears in Collections:Physics

Files in This Item:

File Description SizeFormat
YAKS_Model_V3.ipynbSpeed-density models168.04 kBImpress 6.0 templatesView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback