Neural network and multiple regression models for PM10 prediction in Athens: A comparative assessment

被引:0
|
作者
Chaloulakou, Archontoula [1 ,3 ]
Grivas, Georgios [1 ]
Spyrellis, Nikolas [1 ,2 ]
机构
[1] Chemical Engineering Department, Natl. Technical University of Athens, Athens, Greece
[2] General Chemistry Laboratory, Chemical Engineering Department, Natl. Technical University of Athens, Athens, Greece
[3] Chemical Engineering Department, Natl. Technical University of Athens, 9 Heroon Polytechniou Street, 15780 Zografos, Athens, Greece
来源
| 2003年 / Taylor and Francis Inc.卷 / 53期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
34
引用
收藏
相关论文
共 50 条
  • [41] Measurements of PM10 and PM2.5 particle concentrations in Athens, Greece
    Chaloulakou, A
    Kassomenos, P
    Spyrellis, N
    Demokritou, P
    Koutrakis, P
    ATMOSPHERIC ENVIRONMENT, 2003, 37 (05) : 649 - 660
  • [42] The effects of meteorological parameters on PM10: Health impacts assessment using AirQ plus model and prediction by an artificial neural network (ANN)
    Fallahizadeh, Saeid
    Kermani, Majid
    Esrafili, Ali
    Asadgol, Zahra
    Gholami, Mitra
    URBAN CLIMATE, 2021, 38
  • [43] A Simple Feedforward Neural Network for the PM10 Forecasting: Comparison with a Radial Basis Function Network and a Multivariate Linear Regression Model
    M. Caselli
    L. Trizio
    G. de Gennaro
    P. Ielpo
    Water, Air, and Soil Pollution, 2009, 201 : 365 - 377
  • [44] A Simple Feedforward Neural Network for the PM10 Forecasting: Comparison with a Radial Basis Function Network and a Multivariate Linear Regression Model
    Caselli, M.
    Trizio, L.
    de Gennaro, G.
    Ielpo, P.
    WATER AIR AND SOIL POLLUTION, 2009, 201 (1-4): : 365 - 377
  • [45] A neural network forecast for daily average PM10 concentrations in Belgium
    Hooyberghs, J
    Mensink, C
    Dumont, G
    Fierens, F
    Brasseur, O
    ATMOSPHERIC ENVIRONMENT, 2005, 39 (18) : 3279 - 3289
  • [46] PM10 forecasting using clusterwise regression
    Poggi, Jean-Michel
    Portier, Bruno
    ATMOSPHERIC ENVIRONMENT, 2011, 45 (38) : 7005 - 7014
  • [47] Prediction of PM10 concentration in Seoul, Korea using Bayesian network
    Jo, Minjoo
    Oh, Rosy
    Oh, Man-Suk
    COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2023, 30 (05) : 517 - 530
  • [48] PM10 CONCENTRATION LEVELS IN THE GREATER ATHENS AREA, GREECE
    Larissi, Ioanna K.
    Koukouletsos, Konstantinos V.
    Moustris, Kostas P.
    Antoniou, Antonis
    Paliatsos, Athanasios G.
    FRESENIUS ENVIRONMENTAL BULLETIN, 2010, 19 (02): : 226 - 231
  • [49] Development and comparison of backpropagation and generalized regression neural network models to predict diurnal and seasonal gas and PM10 concentrations and emissions from swine buildings
    Sun, G.
    Hoff, S. J.
    Zelle, B. C.
    Nelson, M. A.
    TRANSACTIONS OF THE ASABE, 2008, 51 (02) : 685 - 694
  • [50] Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki
    Kukkonen, J
    Partanen, L
    Karppinen, A
    Ruuskanen, J
    Junninen, H
    Kolehmainen, M
    Niska, H
    Dorling, S
    Chatterton, T
    Foxall, R
    Cawley, G
    ATMOSPHERIC ENVIRONMENT, 2003, 37 (32) : 4539 - 4550