-
3
-
-
0037954189
-
A multivariate state space approach for urban traffic flow modeling and prediction
-
DOI 10.1016/S0968-090X(03)00004-4, PII S0968090X03000044
-
A. Stathopoulos, and G.M. Karlaftis A multivariate state space approach for urban traffic flow modeling and prediction Transportation Research Part C 11 2003 121 135 (Pubitemid 36594926)
-
(2003)
Transportation Research Part C: Emerging Technologies
, vol.11
, Issue.2
, pp. 121-135
-
-
Stathopoulos, A.1
Karlaftis, M.G.2
-
4
-
-
38149086442
-
Travel time estimation in the GERDIEN project
-
B. van Arem, M. van der Vlist, J. de Ruuiter, M. Muste, and S. Smulders Travel time estimation in the GERDIEN project Proceedings of the Second DRIVE II Workshop on Short-Term Traffic Forecasting, Delft 1994
-
(1994)
Proceedings of the Second DRIVE II Workshop on Short-Term Traffic Forecasting, Delft
-
-
Van Arem, B.1
Van Der Vlist, M.2
De Ruuiter, J.3
Muste, M.4
Smulders, S.5
-
6
-
-
0003255680
-
Alternative approaches to short term forecasting for use in driver information systems
-
P.C. Vythoulkas Alternative approaches to short term forecasting for use in driver information systems C.F. Daganzo, Transportation and Traffic Theory 1993 Elsevier Amsterdam
-
(1993)
Transportation and Traffic Theory
-
-
Vythoulkas, P.C.1
-
7
-
-
0001845905
-
ATHENA: A method for short-term inter-urban motorway traffic forecasting
-
M. Danech-Pajouh, and M. Aron ATHENA: a method for short-term inter-urban motorway traffic forecasting Recherche Transports Sécurité 6 1991 11 16
-
(1991)
Recherche Transports Sécurité
, vol.6
, pp. 11-16
-
-
Danech-Pajouh, M.1
Aron, M.2
-
10
-
-
0036692982
-
Comparison of parametric and nonparametric models for traffic flow forecasting
-
B.L. Smith, B.M. Williams, and R.K. Oswald Comparison of parametric and nonparametric models for traffic flow forecasting Transportation Research Part C 10 2002 303 321
-
(2002)
Transportation Research Part C
, vol.10
, pp. 303-321
-
-
Smith, B.L.1
Williams, B.M.2
Oswald, R.K.3
-
13
-
-
12344314263
-
Space-time modeling of traffic flow
-
DOI 10.1016/j.cageo.2004.05.012, PII S0098300404001888, Geospatial Research in Europe: AGILE 2003
-
Y. Kamarianakis, and P. Prastacos Space-time modeling of traffic flow Computers & Geosciences 31 2005 119 133 (Pubitemid 40133572)
-
(2005)
Computers and Geosciences
, vol.31
, Issue.2
, pp. 119-133
-
-
Kamarianakis, Y.1
Prastacos, P.2
-
14
-
-
0031092111
-
Should we use neural networks or statistical models for short-term motorway traffic forecasting?
-
PII S0169207096006991
-
H.R. Kirby, S.M. Watson, and M.S. Dougherty Should we use neural networks or statistical models for short-term motorway traffic forecasting? International Journal of Forecasting 13 1997 43 50 (Pubitemid 127165543)
-
(1997)
International Journal of Forecasting
, vol.13
, Issue.1
, pp. 43-50
-
-
Kirby, H.R.1
Watson, S.M.2
Dougherty, M.S.3
-
15
-
-
0035563672
-
Multivariate vehicular traffic flow prediction: Evaluation of ARIMAX modeling
-
01-3488
-
B.M. Williams Multivariate vehicular traffic flow prediction: an evaluation of ARIMAX modeling Transportation Research Record 1776 2001 194 200 (Pubitemid 34404280)
-
(2001)
Transportation Research Record
, Issue.1776
, pp. 194-200
-
-
Williams, B.M.1
-
17
-
-
0010373099
-
-
Ph.D. Dissertation, Department of Civil Engineering, University of Virginia, Charlottesville, Virginia
-
B.M. Williams, Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process, Ph.D. Dissertation, Department of Civil Engineering, University of Virginia, Charlottesville, Virginia, 1999.
-
(1999)
Modeling and Forecasting Vehicular Traffic Flow As A Seasonal Stochastic Time Series Process
-
-
Williams, B.M.1
-
18
-
-
0035567818
-
A study of hybrid neural network approaches and the effects of missing data on traffic forecasting
-
H. Chen, S. Grant-Muller, L. Mussone, and F. Montgomery A study of hybrid neural network approaches and the effects of missing data on traffic forecasting Neural Computing and Applications 10 2001 277 286 (Pubitemid 33725833)
-
(2001)
Neural Computing and Applications
, vol.10
, Issue.3
, pp. 277-286
-
-
Chen, H.1
Grant-Muller, S.2
Mussone, L.3
Montgomery, F.4
-
19
-
-
0031092866
-
Short-term inter-urban traffic forecasts using neural networks
-
PII S0169207096006978
-
M.S. Dougherty, and M.R. Cobbett Short-term inter-urban traffic forecasts using neural networks International Journal of Forecasting 13 1997 21 31 (Pubitemid 127165541)
-
(1997)
International Journal of Forecasting
, vol.13
, Issue.1
, pp. 21-31
-
-
Dougherty, M.S.1
Cobbett, M.R.2
-
20
-
-
0030081052
-
Neural-network models for classification and forecasting of freeway traffic flow stability
-
DOI 10.1016/0967-0661(95)00221-9, PII S0967066195002219
-
L. Florio, and L. Mussone Neural network models for classification and forecasting of freeway traffic flow stability Control Engineering Practice 4 1996 153 164 (Pubitemid 126399839)
-
(1996)
Control Engineering Practice
, vol.4
, Issue.2
, pp. 153-164
-
-
Florio, L.1
Mussone, L.2
-
21
-
-
0031284302
-
An urban traffic flow model integrating neural networks
-
C. Ledoux An urban traffic flow model integrating neural networks Transportation Research Part C 5 1997 287 300
-
(1997)
Transportation Research Part C
, vol.5
, pp. 287-300
-
-
Ledoux, C.1
-
22
-
-
23844513726
-
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
-
DOI 10.1016/j.trc.2005.04.007, PII S0968090X05000276
-
E.I. Vlahogianni, M.G. Karlaftis, and J.C. Golias Optimized and meta-optimized neural networks for short-term traffic flow prediction: a genetic approach Transportation Research Part C 13 2005 211 234 (Pubitemid 41179185)
-
(2005)
Transportation Research Part C: Emerging Technologies
, vol.13
, Issue.3
, pp. 211-234
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
-
23
-
-
0003123930
-
Forecasting with artificial neural networks: The state of the art
-
PII S0169207097000447
-
G. Zhang, B.E. Patuwo, and M.Y. Hu Forecasting with artificial neural networks: the state of art International Journal of Forecasting 14 1998 35 62 (Pubitemid 128340470)
-
(1998)
International Journal of Forecasting
, vol.14
, Issue.1
, pp. 35-62
-
-
Zhang, G.1
Eddy Patuwo, B.2
Y. Hu, M.3
-
24
-
-
0036532655
-
Urban traffic flow prediction using a fuzzy-neural approach
-
DOI 10.1016/S0968-090X(01)00004-3, PII S0968090X01000043
-
H. Yin, S.C. Wong, J. Xu, and C.K. Wong Urban traffic flow prediction using a fuzzy-neural approach Transportation Research Part C 10 2002 85 98 (Pubitemid 34039575)
-
(2002)
Transportation Research Part C: Emerging Technologies
, vol.10
, Issue.2
, pp. 85-98
-
-
Yin, H.1
Wong, S.C.2
Xu, J.3
Wong, C.K.4
-
27
-
-
84887252594
-
Support vector machine for function approximation, regression estimation, and signal processing
-
V. Vapnik, S. Golowich, and A. Smola Support vector machine for function approximation, regression estimation, and signal processing Advances in Neural Information Processing Systems 9 1996 281 287
-
(1996)
Advances in Neural Information Processing Systems
, vol.9
, pp. 281-287
-
-
Vapnik, V.1
Golowich, S.2
Smola, A.3
-
28
-
-
84899013173
-
Support vector regression machines
-
H. Drucker, C.J.C. Burges, L. Kaufman, A. Smola, and V.N. Vapnik Support vector regression machines Advances in Neural Information Processing Systems 9 1997 155 161
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 155-161
-
-
Drucker, H.1
Burges, C.J.C.2
Kaufman, L.3
Smola, A.4
Vapnik, V.N.5
-
29
-
-
0002562734
-
Forecasting tourism demand: A comparison of accuracy of several quantitative methods
-
C.A. Martin, and S.F. Witt Forecasting tourism demand: a comparison of accuracy of several quantitative methods International Journal of Forecasting 5 1989 7 19
-
(1989)
International Journal of Forecasting
, vol.5
, pp. 7-19
-
-
Martin, C.A.1
Witt, S.F.2
-
30
-
-
0037381038
-
Support vector machines experts for time series forecasting
-
DOI 10.1016/S0925-2312(02)00577-5, PII S0925231202005775
-
L. Cao Support vector machines experts for time series forecasting Neurocomputing 51 2003 321 339 (Pubitemid 36367241)
-
(2003)
Neurocomputing
, vol.51
, pp. 321-339
-
-
Cao, L.1
-
31
-
-
84863268449
-
Dynamic support vector machines for non-stationary time series forecasting
-
L. Cao, and Q. Gu Dynamic support vector machines for non-stationary time series forecasting Intelligent Data Analysis 6 2002 67 83
-
(2002)
Intelligent Data Analysis
, vol.6
, pp. 67-83
-
-
Cao, L.1
Gu, Q.2
-
32
-
-
13544267510
-
Forecasting stock market movement direction with support vector machine
-
DOI 10.1016/j.cor.2004.03.016, PII S0305054804000681, Application of Neural Networks
-
W. Huang, Y. Nakamori, and S.Y. Wang Forecasting stock market movement direction with support vector machine Computers & Operations Research 32 2005 2513 2522 (Pubitemid 40219758)
-
(2005)
Computers and Operations Research
, vol.32
, Issue.10
, pp. 2513-2522
-
-
Huang, W.1
Nakamori, Y.2
Wang, S.-Y.3
-
33
-
-
27944432882
-
Using support vector machines in forecasting production values of machinery industry in Taiwan
-
P.F. Pai, and C.S. Lin Using support vector machines in forecasting production values of machinery industry in Taiwan International Journal of Advanced Manufacturing Technology 27 2005 205 210
-
(2005)
International Journal of Advanced Manufacturing Technology
, vol.27
, pp. 205-210
-
-
Pai, P.F.1
Lin, C.S.2
-
34
-
-
20344388265
-
A hybrid ARIMA and support vector machines model in stock price forecasting
-
P.F. Pai, and C.S. Lin A hybrid ARIMA and support vector machines model in stock price forecasting Omega 33 2005 497 505
-
(2005)
Omega
, vol.33
, pp. 497-505
-
-
Pai, P.F.1
Lin, C.S.2
-
35
-
-
0001023715
-
Application of support vector machines in financial time series forecasting
-
DOI 10.1016/S0305-0483(01)00026-3, PII S0305048301000263
-
F.E.H. Tay, and L. Cao Application of support vector machines in financial time series forecasting Omega 29 2001 309 317 (Pubitemid 33628757)
-
(2001)
Omega
, vol.29
, Issue.4
, pp. 309-317
-
-
Tay, F.E.H.1
Cao, L.2
-
36
-
-
0036825901
-
Modified support vector machines in financial time series forecasting
-
DOI 10.1016/S0925-2312(01)00676-2, PII S0925231201006762
-
F.E.H. Tay, and L. Cao Modified support vector machines in financial time series forecasting Neurocomputing 48 2002 847 861 (Pubitemid 36221530)
-
(2002)
Neurocomputing
, vol.48
, pp. 847-861
-
-
Tay, F.E.H.1
Cao, L.J.2
-
37
-
-
33646130599
-
Software reliability forecasting by support vector machines with simulated annealing algorithms
-
P.F. Pai, and W.C. Hong Software reliability forecasting by support vector machines with simulated annealing algorithms Journal of Systems and Software 79 2006 747 755
-
(2006)
Journal of Systems and Software
, vol.79
, pp. 747-755
-
-
Pai, P.F.1
Hong, W.C.2
-
38
-
-
33846428782
-
Potential assessment of the support vector regression technique in rainfall forecasting
-
W.C. Hong, and P.F. Pai Potential assessment of the support vector regression technique in rainfall forecasting Water Resources Management 21 2007 495 513
-
(2007)
Water Resources Management
, vol.21
, pp. 495-513
-
-
Hong, W.C.1
Pai, P.F.2
-
39
-
-
0442296729
-
Support vector machines for wind speed prediction
-
DOI 10.1016/j.renene.2003.11.009
-
M.A. Mohandes, T.O. Halawani, S. Rehman, and A.A. Hussain Support vector machines for wind speed prediction Renewable Energy 29 2004 939 947 (Pubitemid 38242182)
-
(2004)
Renewable Energy
, vol.29
, Issue.6
, pp. 939-947
-
-
Mohandes, M.A.1
Halawani, T.O.2
Rehman, S.3
Hussain, A.A.4
-
40
-
-
33947537723
-
A recurrent support vector regression model in rainfall forecasting
-
P.F. Pai, and W.C. Hong A recurrent support vector regression model in rainfall forecasting Hydrological Processes 21 2007 819 827
-
(2007)
Hydrological Processes
, vol.21
, pp. 819-827
-
-
Pai, P.F.1
Hong, W.C.2
-
41
-
-
0037255890
-
Three improved neural network models for air quality forecasting
-
W. Wang, Z. Xu, and J.W. Lu Three improved neural network models for air quality forecasting Engineering Computations 20 2003 192 210
-
(2003)
Engineering Computations
, vol.20
, pp. 192-210
-
-
Wang, W.1
Xu, Z.2
Lu, J.W.3
-
42
-
-
18144394762
-
Forecasting regional electric load based on recurrent support vector machines with genetic algorithms
-
P.F. Pai, and W.C. Hong Forecasting regional electric load based on recurrent support vector machines with genetic algorithms Electric Power Systems Research 74 2005 417 425
-
(2005)
Electric Power Systems Research
, vol.74
, pp. 417-425
-
-
Pai, P.F.1
Hong, W.C.2
-
43
-
-
18544377981
-
Support vector machines with simulated annealing algorithms in electricity load forecasting
-
P.F. Pai, and W.C. Hong Support vector machines with simulated annealing algorithms in electricity load forecasting Energy Conversion and Management 46 2005 2626 2669
-
(2005)
Energy Conversion and Management
, vol.46
, pp. 2626-2669
-
-
Pai, P.F.1
Hong, W.C.2
-
44
-
-
27744588529
-
An improved neural network model in forecasting arrivals
-
P.F. Pai, and W.C. Hong An improved neural network model in forecasting arrivals Annals of Tourism Research 32 2005 1138 1141
-
(2005)
Annals of Tourism Research
, vol.32
, pp. 1138-1141
-
-
Pai, P.F.1
Hong, W.C.2
-
45
-
-
36549006345
-
The application of support vector machines to forecast tourist arrivals in Barbados: An empirical study
-
P.F. Pai, W.C. Hong, P.T. Chang, and C.T. Chen The application of support vector machines to forecast tourist arrivals in Barbados: an empirical study International Journal of Management 23 2006 375 385
-
(2006)
International Journal of Management
, vol.23
, pp. 375-385
-
-
Pai, P.F.1
Hong, W.C.2
Chang, P.T.3
Chen, C.T.4
-
46
-
-
0346250790
-
Practical selection of SVM parameters and noise estimation for SVM regression
-
DOI 10.1016/S0893-6080(03)00169-2
-
V. Cherkassky, and Y. Ma Practical selection of SVM parameters and noise estimation for SVM regression Neural Networks 17 2004 113 126 (Pubitemid 38019003)
-
(2004)
Neural Networks
, vol.17
, Issue.1
, pp. 113-126
-
-
Cherkassky, V.1
Ma, Y.2
-
49
-
-
0027667217
-
Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation
-
J. Lee, and G.E. Johnson Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation Computer Aided Design 25 1983 601 611
-
(1983)
Computer Aided Design
, vol.25
, pp. 601-611
-
-
Lee, J.1
Johnson, G.E.2
-
50
-
-
11844250090
-
Optimal in situ bioremediation design by hybrid genetic algorithm-simulated annealing
-
DOI 10.1061/(ASCE)0733-9496(2005)131:1(67)
-
H.J. Shieh, and R.C. Peralta Optimal in situ bioremediation design by hybrid genetic algorithm-simulated annealing Journal of Water Resources Planning and Management 131 2005 67 78 (Pubitemid 40106708)
-
(2005)
Journal of Water Resources Planning and Management
, vol.131
, Issue.1
, pp. 67-78
-
-
Shieh, H.-J.1
Peralta, R.C.2
-
51
-
-
0037282048
-
A GA-SA multiobjective hybrid search algorithm for integrating lot sizing and sequencing in flow-line scheduling
-
S.G. Ponnambalam, and M.M. Reddy A GA-SA multiobjective hybrid search algorithm for integrating lot sizing and sequencing in flow-line scheduling International Journal of Advanced Manufacturing Technology 21 2003 126 137
-
(2003)
International Journal of Advanced Manufacturing Technology
, vol.21
, pp. 126-137
-
-
Ponnambalam, S.G.1
Reddy, M.M.2
-
52
-
-
33645530240
-
Simulated annealing - Genetic algorithm for transit network optimization
-
F. Zhao, and X. Zeng Simulated annealing - genetic algorithm for transit network optimization Journal of Computing in Civil Engineering 20 2006 57 68
-
(2006)
Journal of Computing in Civil Engineering
, vol.20
, pp. 57-68
-
-
Zhao, F.1
Zeng, X.2
-
53
-
-
0012586289
-
A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems
-
O. Cordón, F. Moya, and C. Zarco A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems Soft Computing 6 2002 308 319
-
(2002)
Soft Computing
, vol.6
, pp. 308-319
-
-
Cordón, O.1
Moya, F.2
Zarco, C.3
-
54
-
-
22044438294
-
Optimization of continuous-time production planning using hybrid genetic algorithms-simulated annealing
-
DOI 10.1007/s00170-003-1976-4
-
K. Ganesh, and M. Punniyamoorthy Optimization of continuous-time production planning using hybrid genetic algorithms-simulated annealing International Journal of Advanced Manufacturing Technology 26 2005 148 154 (Pubitemid 40963676)
-
(2005)
International Journal of Advanced Manufacturing Technology
, vol.26
, Issue.1-2
, pp. 148-154
-
-
Ganesh, K.1
Punniyamoorthy, M.2
-
56
-
-
0037278595
-
A simulated annealing genetic algorithm for the electrical power districting problem
-
P.K. Bergey, C.T. Ragsdale, and M. Hoskote A simulated annealing genetic algorithm for the electrical power districting problem Annals of Operations Research 121 2003 33 55
-
(2003)
Annals of Operations Research
, vol.121
, pp. 33-55
-
-
Bergey, P.K.1
Ragsdale, C.T.2
Hoskote, M.3
-
58
-
-
0000082693
-
Forecasting sales by exponentially weighted moving averages
-
P.R. Winters Forecasting sales by exponentially weighted moving averages Management Science 6 1960 324 342
-
(1960)
Management Science
, vol.6
, pp. 324-342
-
-
Winters, P.R.1
-
60
-
-
0032166068
-
Structural risk minimization over data-dependent hierarchies
-
PII S0018944898047890
-
J. Shawe-Taylor, P.L. Bartlett, R.C. Williamson, and M. Anthony Structural risk minimization over data-dependent hierarchies IEEE Transactions on Information Theory 44 1998 1926 1940 (Pubitemid 128738561)
-
(1998)
IEEE Transactions on Information Theory
, vol.44
, Issue.5
, pp. 1926-1940
-
-
Shawe-Taylor, J.1
Bartlett, P.L.2
Williamson, R.C.3
Anthony, M.4
-
61
-
-
0032786569
-
Improving support vector machine classifiers by modifying kernel functions
-
DOI 10.1016/S0893-6080(99)00032-5, PII S0893608099000325
-
S. Amari, and S. Wu Improving support vector machine classifiers by modifying kernel functions Neural Networks 12 1999 783 789 (Pubitemid 29359218)
-
(1999)
Neural Networks
, vol.12
, Issue.6
, pp. 783-789
-
-
Amari, S.1
Wu, S.2
|