Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892055834> ?p ?o ?g. }
- W2892055834 endingPage "746" @default.
- W2892055834 startingPage "729" @default.
- W2892055834 abstract "Air quality early-warning plays a vital role in improving air quality and human health, especially multi-step ahead air quality early-warning, which is significant for both citizens and environmental protection departments. However, most previous studies have only employed simple data decomposition to perform one-step forecasting and were aimed at enhancing forecasting accuracy or stability. Little research has improved these two standards simultaneously, leading to poor forecasting performance. Because of its significance, relevant research focused on multi-step ahead air quality early-warning is especially needed. Therefore, in this paper, a novel hybrid air quality early-warning system, which consists of four modules: data preprocessing module, optimization module, forecasting module and evaluation module, is proposed to perform multi-step ahead air quality early-warning. In this system, an effective data decomposition method called the modified complete ensemble empirical mode decomposition with adaptive noise is developed to effectively extract the characteristics of air quality data and to further improve the forecasting performance. Moreover, the hybrid Elman neural network model, optimized by the multi-objective salp swarm algorithm, is successfully developed in the forecasting module and simultaneously achieves high forecasting accuracy and stability. In addition, the evaluation module is designed to conduct a reasonable and scientific evaluation for this system. Three cities in China are employed to test the effectiveness of the proposed early-warning system, and the results reveal that the proposed early-warning system has superior ability in both accuracy and stability than other benchmark models and can be used as a reliable tool for multi-step ahead air quality early-warning." @default.
- W2892055834 created "2018-09-27" @default.
- W2892055834 creator A5027893281 @default.
- W2892055834 creator A5037379592 @default.
- W2892055834 date "2019-01-01" @default.
- W2892055834 modified "2023-10-16" @default.
- W2892055834 title "The study and application of a novel hybrid system for air quality early-warning" @default.
- W2892055834 cites W1963568649 @default.
- W2892055834 cites W1980079152 @default.
- W2892055834 cites W1991151501 @default.
- W2892055834 cites W1993526212 @default.
- W2892055834 cites W1998338531 @default.
- W2892055834 cites W2000982976 @default.
- W2892055834 cites W2004731026 @default.
- W2892055834 cites W2007221293 @default.
- W2892055834 cites W2010882086 @default.
- W2892055834 cites W2038759630 @default.
- W2892055834 cites W2044568947 @default.
- W2892055834 cites W2055221518 @default.
- W2892055834 cites W2061232022 @default.
- W2892055834 cites W2076485554 @default.
- W2892055834 cites W2083441060 @default.
- W2892055834 cites W2096166399 @default.
- W2892055834 cites W2110485445 @default.
- W2892055834 cites W2120390927 @default.
- W2892055834 cites W2125056386 @default.
- W2892055834 cites W2142809749 @default.
- W2892055834 cites W2148053015 @default.
- W2892055834 cites W2159326981 @default.
- W2892055834 cites W2165171393 @default.
- W2892055834 cites W2331700789 @default.
- W2892055834 cites W2481453975 @default.
- W2892055834 cites W2485905548 @default.
- W2892055834 cites W2535351973 @default.
- W2892055834 cites W2543678400 @default.
- W2892055834 cites W2551528201 @default.
- W2892055834 cites W2566512888 @default.
- W2892055834 cites W2573526403 @default.
- W2892055834 cites W2580112876 @default.
- W2892055834 cites W2582163918 @default.
- W2892055834 cites W2585008544 @default.
- W2892055834 cites W2606683984 @default.
- W2892055834 cites W2738900493 @default.
- W2892055834 cites W2742365644 @default.
- W2892055834 cites W2754663885 @default.
- W2892055834 cites W2772647675 @default.
- W2892055834 cites W2790834859 @default.
- W2892055834 cites W2791494608 @default.
- W2892055834 cites W2791693928 @default.
- W2892055834 cites W2792244305 @default.
- W2892055834 cites W2792829451 @default.
- W2892055834 cites W2793017755 @default.
- W2892055834 cites W2798157722 @default.
- W2892055834 cites W414544266 @default.
- W2892055834 doi "https://doi.org/10.1016/j.asoc.2018.09.005" @default.
- W2892055834 hasPublicationYear "2019" @default.
- W2892055834 type Work @default.
- W2892055834 sameAs 2892055834 @default.
- W2892055834 citedByCount "73" @default.
- W2892055834 countsByYear W28920558342019 @default.
- W2892055834 countsByYear W28920558342020 @default.
- W2892055834 countsByYear W28920558342021 @default.
- W2892055834 countsByYear W28920558342022 @default.
- W2892055834 countsByYear W28920558342023 @default.
- W2892055834 crossrefType "journal-article" @default.
- W2892055834 hasAuthorship W2892055834A5027893281 @default.
- W2892055834 hasAuthorship W2892055834A5037379592 @default.
- W2892055834 hasConcept C10551718 @default.
- W2892055834 hasConcept C106131492 @default.
- W2892055834 hasConcept C111472728 @default.
- W2892055834 hasConcept C112972136 @default.
- W2892055834 hasConcept C119857082 @default.
- W2892055834 hasConcept C121332964 @default.
- W2892055834 hasConcept C124101348 @default.
- W2892055834 hasConcept C126314574 @default.
- W2892055834 hasConcept C127413603 @default.
- W2892055834 hasConcept C13280743 @default.
- W2892055834 hasConcept C138885662 @default.
- W2892055834 hasConcept C153294291 @default.
- W2892055834 hasConcept C154945302 @default.
- W2892055834 hasConcept C185798385 @default.
- W2892055834 hasConcept C200601418 @default.
- W2892055834 hasConcept C205649164 @default.
- W2892055834 hasConcept C25570617 @default.
- W2892055834 hasConcept C2779296788 @default.
- W2892055834 hasConcept C2779530757 @default.
- W2892055834 hasConcept C29825287 @default.
- W2892055834 hasConcept C31972630 @default.
- W2892055834 hasConcept C34736171 @default.
- W2892055834 hasConcept C41008148 @default.
- W2892055834 hasConcept C50644808 @default.
- W2892055834 hasConcept C76155785 @default.
- W2892055834 hasConceptScore W2892055834C10551718 @default.
- W2892055834 hasConceptScore W2892055834C106131492 @default.
- W2892055834 hasConceptScore W2892055834C111472728 @default.
- W2892055834 hasConceptScore W2892055834C112972136 @default.
- W2892055834 hasConceptScore W2892055834C119857082 @default.
- W2892055834 hasConceptScore W2892055834C121332964 @default.