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Assessment and Monitoring of Persistent Toxic Substances

Forecasting Ozone Levels and Analyzing Their Dynamics by a Bayesian Multilayer Perceptron Model for Two Air-Monitoring Sites in Hong Kong

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Pages 313-327 | Published online: 18 Jan 2007

REFERENCES

  • Berger , J O . 1985 . Statistical Decision Theory and Bayesian Analysis, , 2nd ed , New York, NY , , USA : Springer-Verlag .
  • Bishop , C M . 1995 . Neural Networks for Pattern Recognition , 120 – 59 . Oxford , , UK : Clarendon Press .
  • Chan , L Y , Chan , C Y and Qin , Y . 1998 . Surface ozone pattern in Hong Kong . J Appl Meteorology , 37 ( 10 ) : 1153 – 65 . [CSA]
  • Comrie , A C . 1997 . Comparing neural networks and regression models for ozone forecasting . J Air Waste Manage Assoc , 47 : 653 – 63 . [CSA]
  • Dorling , S R , Foxall , R J Mandic , D P . 2003 . Maximum likelihood cost functions for neural network models of air quality data . Atmospheric Environ , 37 : 3435 – 43 . [CSA] [CROSSREF]
  • Gardner , M W and Dorling , S R . 1998 . Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences . Atmospheric Environ , 32 : 2627 – 36 . [CSA] [CROSSREF]
  • Gardner , M W and Dorling , S R . 2000 . Statistical surface ozone models: an improved methodology to account for non-linear behaviour . Atmospheric Environ , 34 : 21 – 34 . [CSA] [CROSSREF]
  • Heo , J S and Kim , D S . 2004 . A new method of ozone forecasting using fuzzy expert and neural network systems . Sci Total Environ , 325 : 221 – 37 . [PUBMED] [INFOTRIEVE] [CSA] [CROSSREF]
  • Lee , Y C , Calori , G Hills , P . 2002 . Ozone episodes in urban Hong Kong 1994–1999 . Atmospheric Environ , 36 : 1957 – 68 . [CSA] [CROSSREF]
  • Lefohn , A S and Foley , J K . 1993 . Establishing relevant ozone standards to protect vegetation and human health: expose/dose response considerations . J Air Waste Manage Assoc , 43 : 106 – 12 . [CSA]
  • Lu , W Z , Fan , H Y Leung , A YT . 2002 . Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization . Environ Monitoring Assess , 79 : 217 – 30 . [CSA] [CROSSREF]
  • MacKay , D JC . 1992a . Bayesian interpolation . Neural Computation , 4 ( 3 ) : 415 – 47 . [CSA]
  • Mackay , D JC . 1992b . The evidence framework applied to classification networks . Neural Computation , 4 ( 5 ) : 720 – 36 . [CSA]
  • MacKay , D JC . 1995 . Probable networks and plausible predictions—a review of practical Bayesian methods for supervised neural networks . Network: Computation in Neural Systems , 6 ( 3 ) : 469 – 505 . [CSA] [CROSSREF]
  • Nabney , L T . 2002 . Netlab Algorithms for Pattern Recognition , 341 – 46 . Berlin , , Germany : Springer .
  • Neal , R M . 1996 . Bayesian Learning for Neural Networks , Lecture Notes in Statistics No 118 New York, NY , , USA : Springer .
  • Nunnari , G , Nucifora , A FM and Randieri , C . 1998 . The application of neural techniques to the modelling of time-series of atmospheric pollution data . Ecol Modelling , 111 : 187 – 205 . [CSA] [CROSSREF]
  • Rubin , D B . 1987 . Multiple Imputation for Nonresponse in Surveys , New York, NY , , USA : John Wiley .
  • Sarle , W S . 1995 . “ Stopped training and other remedies for over-fitting ” . In Proceedings of the 27th Symposium on the Interface of Computer Science and Statistics 352 – 60 .
  • So , K L and Wang , T . 2003 . On the local and regional influence on ground-level ozone concentrations in Hong Kong . Environ Pollut , 123 : 307 – 17 . [PUBMED] [INFOTRIEVE] [CSA] [CROSSREF]
  • Thodberg , H H . 1996 . A review of Bayesian neural networks with an application to near infrared spectroscopy. Neural Networks . IEEE Transactions on , 7 ( 1 ) : 56 – 72 . [CSA]
  • Wang , X K , Lu , W Z Wang , W J . 2003 . A study of ozone variation trend within area of affecting human health in Hong Kong . Chemosphere , 52 : 1405 – 10 . [PUBMED] [INFOTRIEVE] [CSA] [CROSSREF]
  • Wong , C M Hedley Ma , S . 1999 . Does ozone have any effect on daily hospital admissions for circulatory diseases? . J Epidemiology Community Health , 53 : 580 – 1 . [CSA]
  • Yi , J and Prybutok , V R . 1996 . A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area . Environ Pollut , 92 : 349 – 57 . [PUBMED] [INFOTRIEVE] [CSA] [CROSSREF]

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