Matches in SemOpenAlex for { <https://semopenalex.org/work/W2079794514> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2079794514 endingPage "7064" @default.
- W2079794514 startingPage "7055" @default.
- W2079794514 abstract "An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO2 and NOx, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM10, SO2, and NO2. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied." @default.
- W2079794514 created "2016-06-24" @default.
- W2079794514 creator A5023903127 @default.
- W2079794514 creator A5045853640 @default.
- W2079794514 creator A5054375643 @default.
- W2079794514 creator A5073215780 @default.
- W2079794514 creator A5079160314 @default.
- W2079794514 creator A5087179338 @default.
- W2079794514 date "2004-12-01" @default.
- W2079794514 modified "2023-09-30" @default.
- W2079794514 title "Progress in developing an ANN model for air pollution index forecast" @default.
- W2079794514 cites W1977177161 @default.
- W2079794514 cites W1995265224 @default.
- W2079794514 cites W2041178263 @default.
- W2079794514 cites W2067612424 @default.
- W2079794514 cites W2090593940 @default.
- W2079794514 cites W2119007429 @default.
- W2079794514 cites W2175565447 @default.
- W2079794514 cites W2178569902 @default.
- W2079794514 doi "https://doi.org/10.1016/j.atmosenv.2003.10.066" @default.
- W2079794514 hasPublicationYear "2004" @default.
- W2079794514 type Work @default.
- W2079794514 sameAs 2079794514 @default.
- W2079794514 citedByCount "137" @default.
- W2079794514 countsByYear W20797945142012 @default.
- W2079794514 countsByYear W20797945142013 @default.
- W2079794514 countsByYear W20797945142014 @default.
- W2079794514 countsByYear W20797945142015 @default.
- W2079794514 countsByYear W20797945142016 @default.
- W2079794514 countsByYear W20797945142017 @default.
- W2079794514 countsByYear W20797945142018 @default.
- W2079794514 countsByYear W20797945142019 @default.
- W2079794514 countsByYear W20797945142020 @default.
- W2079794514 countsByYear W20797945142021 @default.
- W2079794514 countsByYear W20797945142022 @default.
- W2079794514 countsByYear W20797945142023 @default.
- W2079794514 crossrefType "journal-article" @default.
- W2079794514 hasAuthorship W2079794514A5023903127 @default.
- W2079794514 hasAuthorship W2079794514A5045853640 @default.
- W2079794514 hasAuthorship W2079794514A5054375643 @default.
- W2079794514 hasAuthorship W2079794514A5073215780 @default.
- W2079794514 hasAuthorship W2079794514A5079160314 @default.
- W2079794514 hasAuthorship W2079794514A5087179338 @default.
- W2079794514 hasConcept C119857082 @default.
- W2079794514 hasConcept C126314574 @default.
- W2079794514 hasConcept C136764020 @default.
- W2079794514 hasConcept C153294291 @default.
- W2079794514 hasConcept C179717631 @default.
- W2079794514 hasConcept C205649164 @default.
- W2079794514 hasConcept C2777382242 @default.
- W2079794514 hasConcept C2777570903 @default.
- W2079794514 hasConcept C41008148 @default.
- W2079794514 hasConcept C50644808 @default.
- W2079794514 hasConcept C60908668 @default.
- W2079794514 hasConceptScore W2079794514C119857082 @default.
- W2079794514 hasConceptScore W2079794514C126314574 @default.
- W2079794514 hasConceptScore W2079794514C136764020 @default.
- W2079794514 hasConceptScore W2079794514C153294291 @default.
- W2079794514 hasConceptScore W2079794514C179717631 @default.
- W2079794514 hasConceptScore W2079794514C205649164 @default.
- W2079794514 hasConceptScore W2079794514C2777382242 @default.
- W2079794514 hasConceptScore W2079794514C2777570903 @default.
- W2079794514 hasConceptScore W2079794514C41008148 @default.
- W2079794514 hasConceptScore W2079794514C50644808 @default.
- W2079794514 hasConceptScore W2079794514C60908668 @default.
- W2079794514 hasIssue "40" @default.
- W2079794514 hasLocation W20797945141 @default.
- W2079794514 hasOpenAccess W2079794514 @default.
- W2079794514 hasPrimaryLocation W20797945141 @default.
- W2079794514 hasRelatedWork W1501774291 @default.
- W2079794514 hasRelatedWork W1987886632 @default.
- W2079794514 hasRelatedWork W2025643150 @default.
- W2079794514 hasRelatedWork W2730581894 @default.
- W2079794514 hasRelatedWork W2890929759 @default.
- W2079794514 hasRelatedWork W2965383708 @default.
- W2079794514 hasRelatedWork W3042796155 @default.
- W2079794514 hasRelatedWork W3158157485 @default.
- W2079794514 hasRelatedWork W4285165247 @default.
- W2079794514 hasRelatedWork W2276110787 @default.
- W2079794514 hasVolume "38" @default.
- W2079794514 isParatext "false" @default.
- W2079794514 isRetracted "false" @default.
- W2079794514 magId "2079794514" @default.
- W2079794514 workType "article" @default.