Forecasting travel demand: a comparison of logit and artificial neural network methods

M C M de Carvalho; M S Dougherty; A S Fowkes; M R Wardman

doi:10.1038/sj.jors.2600590

Forecasting travel demand: a comparison of logit and artificial neural network methods

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600590 ◽

1998 ◽

Vol 49 (7) ◽

pp. 717-722 ◽

Cited By ~ 1

Author(s):

M C M de Carvalho ◽

M S Dougherty ◽

A S Fowkes ◽

M R Wardman

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Travel Demand ◽

Network Methods ◽

Artificial Neural

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Forecasting Travel Demand: A Comparison of Logit and Artificial Neural Network Methods

Journal of the Operational Research Society ◽

10.2307/3010242 ◽

1998 ◽

Vol 49 (7) ◽

pp. 717

Author(s):

M. C. M. de Carvalho ◽

M. S. Dougherty ◽

A. S. Fowkes ◽

M. R. Wardman

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Travel Demand ◽

Network Methods ◽

Artificial Neural

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Forecasting travel demand: a comparison of logit and artificial neural network methods

Journal of the Operational Research Society ◽

10.1057/palgrave.jors.2600590 ◽

1998 ◽

Vol 49 (7) ◽

pp. 717-722 ◽

Cited By ~ 11

Author(s):

M C M de Carvalho ◽

M S Dougherty ◽

A S Fowkes ◽

M R Wardman

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Travel Demand ◽

Network Methods ◽

Artificial Neural

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Prediction Models of Air Outlet States of Desiccant Wheels Using Multiple Regression and Artificial Neural Network Methods Based on Criterion Numbers

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2021.117940 ◽

2021 ◽

pp. 117940

Author(s):

Xianzhong Chen ◽

Rang Tu ◽

Ming Li ◽

Xu Yang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Multiple Regression ◽

Prediction Models ◽

Network Methods ◽

Artificial Neural

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On Application of Artificial Neural Network Methods in Large-eddy Simulations with Unresolved Urban Surfaces

Modern Applied Science ◽

10.5539/mas.v4n8p3 ◽

2010 ◽

Vol 4 (8) ◽

Cited By ~ 5

Author(s):

Igor Esau

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Large Eddy Simulations ◽

Large Eddy ◽

Network Methods ◽

Artificial Neural

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The integration of fuzzy logic and artificial neural network methods for mobile robot obstacle avoidance in a static environment

2013 IEEE 3rd International Conference on System Engineering and Technology ◽

10.1109/icsengt.2013.6650193 ◽

2013 ◽

Cited By ~ 7

Author(s):

Muhammad Akmal Jeffril ◽

Nohaidda Sariff

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuzzy Logic ◽

Mobile Robot ◽

Obstacle Avoidance ◽

Network Methods ◽

Artificial Neural

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Determinants of energy use in UK higher education buildings using statistical and artificial neural network methods

International Journal of Sustainable Built Environment ◽

10.1016/j.ijsbe.2012.05.002 ◽

2012 ◽

Vol 1 (1) ◽

pp. 50-63 ◽

Cited By ~ 36

Author(s):

D. Hawkins ◽

S.M. Hong ◽

R. Raslan ◽

D. Mumovic ◽

S. Hanna

Keyword(s):

Neural Network ◽

Higher Education ◽

Artificial Neural Network ◽

Energy Use ◽

Network Methods ◽

Artificial Neural ◽

Uk Higher Education

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ARTIFICIAL NEURAL NETWORK METHODS FOR PREDICTION OF RIVER FLOW

Adalya Journal ◽

10.37896/aj9.12/004 ◽

2020 ◽

Vol 9 (12) ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

River Flow ◽

Network Methods ◽

Artificial Neural

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Characterization of aluminum surface using image processing methods and artificial neural network methods

2017 International Conference on Computing, Engineering, and Design (ICCED) ◽

10.1109/ced.2017.8308113 ◽

2017 ◽

Author(s):

Heppi Familiana ◽

Iyus Maulana ◽

Aries Karyadi ◽

Irwin Syahri Cebro ◽

Agustami Sitorus

Keyword(s):

Neural Network ◽

Image Processing ◽

Artificial Neural Network ◽

Aluminum Surface ◽

Processing Methods ◽

Network Methods ◽

Artificial Neural

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Modeling and predicting sunspot activity-state space reconstruction + artificial neural network methods

Geophysical Research Letters ◽

10.1029/98gl00136 ◽

1998 ◽

Vol 25 (4) ◽

pp. 457-460 ◽

Cited By ~ 3

Author(s):

D. R. Kulkarni ◽

A. S. Pandya ◽

J. C. Parikh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

State Space ◽

Sunspot Activity ◽

State Space Reconstruction ◽

Network Methods ◽

Artificial Neural ◽

Activity State

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The prediction of atmospheric concentrations of toluene using artificial neural network methods in Tehran

Advances in environmental research ◽

10.12989/aer.2015.4.4.219 ◽

2015 ◽

Vol 4 (4) ◽

pp. 219-231 ◽

Cited By ~ 1

Author(s):

Gholamreza Asadollahfardi ◽

Shiva Homayoun Aria ◽

Mahdi Mehdinejad

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Methods ◽

Artificial Neural ◽

Atmospheric Concentrations

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