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Volumn 64, Issue 9, 2005, Pages 637-647

Vehicular pollution modeling using artificial neural network technique: A review

Author keywords

Air quality management; Artificial neural networks; Multilayer perceptron; Supervised learning; Training data; Vehicular pollution modeling

Indexed keywords

POLLUTION;

EID: 24744467172     PISSN: 00224456     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (19)

References (60)
  • 1
    • 51249194645 scopus 로고
    • Logical calculas of ideas immanant in neurons activity
    • McCulloch W S & Pitts W A, Logical calculas of ideas immanant in neurons activity, Bull Math Biophys, 5 (1943) 115-133.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.A.2
  • 2
    • 0025268180 scopus 로고
    • Hebbian synapses: Biophysical mechanisms and algorithms
    • Brown T H, Kairiss E W & Keenan C L, Hebbian synapses: Biophysical mechanisms and algorithms, Ann Rev Neurosci, 13 (1990) 475-511.
    • (1990) Ann. Rev. Neurosci. , vol.13 , pp. 475-511
    • Brown, T.H.1    Kairiss, E.W.2    Keenan, C.L.3
  • 3
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information, storage and organization in brain
    • Rosenblatt F, The perceptron: a probabilistic model for information, storage and organization in brain, Psychol Rev, 65 (1958) 386-408.
    • (1958) Psychol. Rev. , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 8
    • 0028416331 scopus 로고
    • NN in civil engineering- Principles and understanding-I
    • Flood I & Kartem N, NN in civil engineering- Principles and understanding-I, I J Comp Civil Eng, 8 (1994) 131-149.
    • (1994) I. J. Comp. Civil Eng. , vol.8 , pp. 131-149
    • Flood, I.1    Kartem, N.2
  • 9
    • 0028413247 scopus 로고
    • NN in civil engineering- Principles and understanding-I
    • Flood I & Kartem N, NN in civil engineering- Principles and understanding-I, I J Comp Civil Eng, 8 (1994), 149-162.
    • (1994) I. J. Comp. Civil Eng. , vol.8 , pp. 149-162
    • Flood, I.1    Kartem, N.2
  • 10
    • 0031245121 scopus 로고    scopus 로고
    • Application of neural networks in transportation
    • Doughterty M, Application of neural networks in transportation, Transport Res, 5C (1997) 255-257.
    • (1997) Transport Res. , vol.5 C , pp. 255-257
    • Doughterty, M.1
  • 11
    • 24744469338 scopus 로고    scopus 로고
    • ANN applications in wind engineering
    • April 4-6, (Phoenix Publishing House Pvt Ltd, Roorkee)
    • Godbole P N, ANN applications in wind engineering, Proc First Nat Conf Wind Engg, April 4-6, 2002 (Phoenix Publishing House Pvt Ltd, Roorkee), 75-91.
    • (2002) Proc. First Nat. Conf. Wind Engg. , pp. 75-91
    • Godbole, P.N.1
  • 12
    • 24744440454 scopus 로고    scopus 로고
    • Wind tunnel studies on pressure distribution for scope twin tower building
    • Project Report (Wind Engineering Centre, Department of Civil Engineering, Univ Roorkee, Roorkee)
    • Krishna P, Pande P K, Godbole P N & Krishen K, Wind tunnel studies on pressure distribution for scope twin tower building, Project Report (Wind Engineering Centre, Department of Civil Engineering, Univ Roorkee, Roorkee) 2000.
    • (2000)
    • Krishna, P.1    Pande, P.K.2    Godbole, P.N.3    Krishen, K.4
  • 14
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks: The multiplayer perceptron - A review of application in atmospheric sciences
    • Gardner M W & Dorling S R, Artificial neural networks: The multiplayer perceptron - A review of application in atmospheric sciences, Atmos Environ, 32 (1998) 2627-2636.
    • (1998) Atmos. Environ. , vol.32 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2
  • 15
    • 0030104449 scopus 로고    scopus 로고
    • Artificial neural networks - A tutorial
    • March
    • Jain A K, Mao J & Moiuddin K M, Artificial neural networks-A tutorial. Computer, March (1996) 31-44.
    • (1996) Computer , pp. 31-44
    • Jain, A.K.1    Mao, J.2    Moiuddin, K.M.3
  • 16
    • 0024880831 scopus 로고
    • Multilayer feed-forward networks are universal approximators
    • Hornik K, Stinchcombe M & White H, Multilayer feed-forward networks are universal approximators, Neural Net, 2 (1989) 359-366.
    • (1989) Neural Net. , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 19
    • 0027610496 scopus 로고
    • 2 concentrations in highly polluted areas of complex terrain
    • 2 concentrations in highly polluted areas of complex terrain, Atmos Environ, 27B (1993) 221-230.
    • (1993) Atmos. Environ. , vol.27 B , pp. 221-230
    • Boznar, M.1    Lesiak, M.2    Malker, P.3
  • 21
    • 0033962994 scopus 로고    scopus 로고
    • Statistical surface ozone models: An improved methodology to account for non- linear behavior
    • Gardner M W & Dorling S R, Statistical surface ozone models: An improved methodology to account for non- linear behavior, Atmos Environ, 34 (2000) 21-34.
    • (2000) Atmos. Environ. , vol.34 , pp. 21-34
    • Gardner, M.W.1    Dorling, S.R.2
  • 23
    • 0032188343 scopus 로고    scopus 로고
    • Artificial neural network approach for pavement maintenance
    • Alsugair A M & Al-Qudrah A, Artificial neural network approach for pavement maintenance, ASCE J Comp Civil Eng, 2 (1998) 249-255.
    • (1998) ASCE J. Comp. Civil Eng. , vol.2 , pp. 249-255
    • Alsugair, A.M.1    Al-Qudrah, A.2
  • 24
    • 0001024110 scopus 로고
    • First- and second- order methods for learning: Between steepest decent and Newton's method
    • Battiti R, First- and second- order methods for learning: between steepest decent and Newton's method, Neural Comput, 4 (1992) 141-166.
    • (1992) Neural Comput. , vol.4 , pp. 141-166
    • Battiti, R.1
  • 25
    • 84972493978 scopus 로고
    • Comment on "Neural networks: A review from statistical perspective by Cheng B & Titteriington D M
    • Breiman L, Comment on "Neural networks: A review from statistical perspective by Cheng B & Titteriington D M, Stat Sci, 9 (1994) 38-42.
    • (1994) Stat. Sci. , vol.9 , pp. 38-42
    • Breiman, L.1
  • 26
    • 0001298583 scopus 로고
    • Automatic learning rate maximization by on-line estimation of the Hessian's eigenvectors
    • (Morgan Kaufmann, California)
    • Le Cun Y, Simard P Y & Pearlmutter B, Automatic learning rate maximization by on-line estimation of the Hessian's eigenvectors, in Advances in Neural Information Processing System (Morgan Kaufmann, California), 5, 1993, 156-163.
    • (1993) Advances in Neural Information Processing System , vol.5 , pp. 156-163
    • Le Cun, Y.1    Simard, P.Y.2    Pearlmutter, B.3
  • 27
    • 0004176807 scopus 로고    scopus 로고
    • (Van Nostrand Reinhold, New York)
    • Wasserman P D, Neural Computing (Van Nostrand Reinhold, New York) 1998, 1-145.
    • (1998) Neural Computing , pp. 1-145
    • Wasserman, P.D.1
  • 28
    • 0141713427 scopus 로고    scopus 로고
    • Neural network frequently asked questions
    • ftp://ftp.sas.com/pub/neutral/FAQ.html
    • Sarle W, Neural network frequently asked questions. ftp://ftp.sas.com/ pub/neutral/FAQ.html.
    • Sarle, W.1
  • 29
    • 0030272524 scopus 로고    scopus 로고
    • A simple neural network for estimating emission rates of hydrogen sulphide and ammonia from single point source
    • Rage M A & Tock R W, A simple neural network for estimating emission rates of hydrogen sulphide and ammonia from single point source, J Air Waste Manage Assoc, 46 (1996) 953-962.
    • (1996) J. Air Waste Manage. Assoc. , vol.46 , pp. 953-962
    • Rage, M.A.1    Tock, R.W.2
  • 30
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks: The multiplayer perceptron-A review of application in atmospheric sciences
    • Gardner M W & Dorling S R, Artificial neural networks: The multiplayer perceptron-A review of application in atmospheric sciences, Atmos Environ, 32 (1998) 2627-2636.
    • (1998) Atmos. Environ. , vol.32 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2
  • 33
    • 0030301575 scopus 로고    scopus 로고
    • Forecasting carbon monoxide concentration near a sheltered intersection using video surveillance and neural networks
    • Moseholm L, Silva J & Larson T, Forecasting carbon monoxide concentration near a sheltered intersection using video surveillance and neural networks, Transport Res, 1D (1998) 15-28.
    • (1998) Transport Res. , vol.1 D , pp. 15-28
    • Moseholm, L.1    Silva, J.2    Larson, T.3
  • 35
    • 0343339858 scopus 로고    scopus 로고
    • 2.5 concentrations several hours in advance using neural networks in Santiago, Chile
    • 2.5 concentrations several hours in advance using neural networks in Santiago, Chile, Atmos Environ, 34 (2000) 1189-1196.
    • (2000) Atmos. Environ. , vol.34 , pp. 1189-1196
    • Perez, P.1    Trier, A.2    Reyes, J.3
  • 36
    • 0034744978 scopus 로고    scopus 로고
    • 2 concentration near street with heavy traffic in Santiago, Chile
    • 2 concentration near street with heavy traffic in Santiago, Chile, Atmos Environ, 35 (2001) 783-1789.
    • (2001) Atmos. Environ. , vol.35 , pp. 783-1789
    • Perez, P.1    Trier, A.2
  • 37
    • 0030476772 scopus 로고    scopus 로고
    • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized area in London
    • Yi J & Prybutok R, A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized area in London. Env Pollut, 92 (1996) 349-357.
    • (1996) Env. Pollut. , vol.92 , pp. 349-357
    • Yi, J.1    Prybutok, R.2
  • 38
    • 0031172117 scopus 로고    scopus 로고
    • Comparing neural networks and regression models for ozone forecasting
    • Comrie A C, Comparing neural networks and regression models for ozone forecasting, J Air Waste Manag Assoc, 47 (1997) 653-663.
    • (1997) J. Air Waste Manag. Assoc. , vol.47 , pp. 653-663
    • Comrie, A.C.1
  • 39
    • 0038201778 scopus 로고    scopus 로고
    • Prediction of maximum daily ozone using combined neural network and statistical characteristics
    • Wang W, Weizhen L, Wang X & Leung A Y T, Prediction of maximum daily ozone using combined neural network and statistical characteristics, Environ Int, 29 (2003) 555-562.
    • (2003) Environ. Int. , vol.29 , pp. 555-562
    • Wang, W.1    Weizhen, L.2    Wang, X.3    Leung, A.Y.T.4
  • 40
    • 0036224943 scopus 로고    scopus 로고
    • Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks
    • Abdul-Wahab S A & Al-Alawi S M, Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks, Environ Model Softw, 17 (2002) 219-228.
    • (2002) Environ. Model Softw. , vol.17 , pp. 219-228
    • Abdul-Wahab, S.A.1    Al-Alawi, S.M.2
  • 41
    • 0033180916 scopus 로고    scopus 로고
    • Artificial neural network for the identification of unknown air pollution sources
    • Reich S L, Gomez D R & Dawidowski L E, Artificial neural network for the identification of unknown air pollution sources, Atmos Environ, 33 (1999) 3045-3052.
    • (1999) Atmos. Environ. , vol.33 , pp. 3045-3052
    • Reich, S.L.1    Gomez, D.R.2    Dawidowski, L.E.3
  • 44
    • 24744448320 scopus 로고    scopus 로고
    • Vehicular pollution prediction modeling using artificial neural network technique
    • NCWE-04, Nagpur, February 12-14
    • Chaudhry K K, Sharma N & Mukkhopadhyay S, Vehicular pollution prediction modeling using artificial neural network technique, Proc 2nd Nat Conf Wind Engg, NCWE-04, Nagpur, February 12-14, 2004, 476-484.
    • (2004) Proc. 2nd Nat. Conf. Wind Engg. , pp. 476-484
    • Chaudhry, K.K.1    Sharma, N.2    Mukkhopadhyay, S.3
  • 46
    • 0031380294 scopus 로고    scopus 로고
    • Use of the Model Validation Kit at the Oostende workshop: Overview of results
    • Olesen H R, Use of the Model Validation Kit at the Oostende workshop: Overview of results, Int J Environ Pollut, 8 (1997) 378-387.
    • (1997) Int. J. Environ. Pollut. , vol.8 , pp. 378-387
    • Olesen, H.R.1
  • 47
    • 0031749632 scopus 로고    scopus 로고
    • Modeling of air pollution - Its use and limitations
    • Scorer R S, Modeling of air pollution - Its use and limitations, Clean Air, 28 (1998) 102-104.
    • (1998) Clean Air , vol.28 , pp. 102-104
    • Scorer, R.S.1
  • 48
    • 0019657520 scopus 로고
    • Judging air quality model performance: A summary of the Ams workshop on dispersion model performance
    • Fox D J, Judging air quality model performance: a summary of the Ams workshop on dispersion model performance, Bull Amer Met Soc, 62 (1981) 599-609.
    • (1981) Bull. Amer. Met. Soc. , vol.62 , pp. 599-609
    • Fox, D.J.1
  • 49
    • 0019707668 scopus 로고
    • On the validation of models
    • Willmott C J, On the validation of models, Phys Geo, 2 (1981) 184-194.
    • (1981) Phys. Geo. , vol.2 , pp. 184-194
    • Willmott, C.J.1
  • 50
    • 0020386641 scopus 로고
    • Some comments on the evaluation of model performance
    • Willmott C J, Some comments on the evaluation of model performance, Bull Metrol Soc, 63 (1982) 1309-1313.
    • (1982) Bull. Metrol. Soc. , vol.63 , pp. 1309-1313
    • Willmott, C.J.1
  • 51
    • 1842683778 scopus 로고    scopus 로고
    • Artificial neural network based line source models for vehicular exhaust emission predictions of an urban roadway
    • Shiva-Nagendra S M & Khare M, Artificial neural network based line source models for vehicular exhaust emission predictions of an urban roadway, Transport Res, 9D (2004) 199-208.
    • (2004) Transport Res. , vol.9 D , pp. 199-208
    • Shiva-Nagendra, S.M.1    Khare, M.2
  • 52
    • 0032968659 scopus 로고    scopus 로고
    • Line source model for vehicular pollution prediction near roadways and model evaluation through statistical analysis
    • Sivacoumar R & Thanasekaran K, Line source model for vehicular pollution prediction near roadways and model evaluation through statistical analysis, Environ Pollut, 104 (1999) 389-395.
    • (1999) Environ. Pollut. , vol.104 , pp. 389-395
    • Sivacoumar, R.1    Thanasekaran, K.2
  • 53
    • 0035370626 scopus 로고    scopus 로고
    • Comparison and performance evaluation of models used for vehicular pollution predictions
    • ASCE
    • Sivacoumar R & Thanasekaran K, Comparison and performance evaluation of models used for vehicular pollution predictions, J Env Eng, ASCE, 127 (2001) 524-531.
    • (2001) J. Env. Eng. , vol.127 , pp. 524-531
    • Sivacoumar, R.1    Thanasekaran, K.2
  • 54
    • 3242893035 scopus 로고    scopus 로고
    • Vehicular pollution prediction modeling - A review of the highway dispersion models
    • Sharma N, Chaudhry K K & Chalapati Rao C V, Vehicular pollution prediction modeling - A review of the highway dispersion models, Transport Rev, 24 (2004) 409-435
    • (2004) Transport Rev. , vol.24 , pp. 409-435
    • Sharma, N.1    Chaudhry, K.K.2    Chalapati Rao, C.V.3
  • 56
    • 0035108726 scopus 로고    scopus 로고
    • Neural network based modeling of environmental variables: A systematic approach
    • Maier H R & Dandy G C, Neural network based modeling of environmental variables: A systematic approach, Math Comp Model, 33 (2001) 669-682.
    • (2001) Math. Comp. Model , vol.33 , pp. 669-682
    • Maier, H.R.1    Dandy, G.C.2
  • 57
    • 0031725649 scopus 로고    scopus 로고
    • The use of a neural network for studying the relationship between air pollution and asthma-related emergency room visits
    • Nutman Y, Solomon S, Mendel J, Nutman E, Hines M, Topilsky M & Kivity S, The use of a neural network for studying the relationship between air pollution and asthma-related emergency room visits, Respir Med, 92 (1998) 1199-1202.
    • (1998) Respir. Med. , vol.92 , pp. 1199-1202
    • Nutman, Y.1    Solomon, S.2    Mendel, J.3    Nutman, E.4    Hines, M.5    Topilsky, M.6    Kivity, S.7
  • 58
    • 3242885470 scopus 로고    scopus 로고
    • Urban road traffic and air pollution (URTRAP) study
    • CRRI, Technical Report carried out on the behalf of 'Mashelkar Committee' (Central Road Research Institute, New Delhi)
    • CRRI, Urban road traffic and air pollution (URTRAP) study, Technical Report carried out on the behalf of 'Mashelkar Committee' (Central Road Research Institute, New Delhi) 2002.
    • (2002)
  • 59
    • 15544389367 scopus 로고    scopus 로고
    • Potential assessment of the support vector machine method for forecasting ambient air pollution trends
    • Lu W & Wang W, Potential assessment of the support vector machine method for forecasting ambient air pollution trends, Chemosphere, 59 (2005) 693-701.
    • (2005) Chemosphere , vol.59 , pp. 693-701
    • Lu, W.1    Wang, W.2
  • 60
    • 0036468601 scopus 로고    scopus 로고
    • Atmospheric urban pollution: Application of an artificial neural networks(ANN) to the city of Perugia
    • Viotti P, Liuti G & Genova P D, Atmospheric urban pollution: application of an artificial neural networks(ANN) to the city of Perugia, Ecol Model, 148 (2002) 27-46.
    • (2002) Ecol. Model , vol.148 , pp. 27-46
    • Viotti, P.1    Liuti, G.2    Genova, P.D.3


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