The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
Time Series Analysis: Forecasting and Control
Geurts, M., Box, G. E. P., & Jenkins, G. M. (1977) · Journal of Marketing Research · doi:10.2307/3150485 · Cited by 19,186
Time Series Analysis Forecasting and Control.
Bartholomew, D. J., Box, G. E. P., & Jenkins, G. M. (1971) · Operational Research Quarterly (1970-1977) · doi:10.2307/3008255 · Cited by 6,716
Health Effects of Fine Particulate Air Pollution: Lines that Connect
Pope, C. A., & Dockery, D. W. (2006) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2006.10464485 · Cited by 6,583
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
Beaumont, C. D., Belsley, D. A., Kuh, E., & Welsch, R. E. (1981) · The Journal of the Operational Research Society · doi:10.2307/2581267 · Cited by 6,359
Time series forecasting using a hybrid ARIMA and neural network model
Zhang, G. P. (2003) · Neurocomputing · doi:10.1016/s0925-2312(01)00702-0 · Cited by 4,428
Woodsmoke Health Effects: A Review
Naeher, L. P., Brauer, M., Lipsett, M., Zelikoff, J. T., Simpson, C. D., Koenig, J. Q., & Smith, K. R. (2007) · Inhalation Toxicology · doi:10.1080/08958370600985875 · Cited by 1,530
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Cited by
A review of artificial neural network models for ambient air pollution prediction
Cabaneros, S. M., Calautit, J. K., & Hughes, B. R. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.06.014 · Cited by 459
Machine Learning Algorithm for Cryptocurrencies Price Prediction
Awotunde, J. B., Ogundokun, R. O., Jimoh, R. G., Misra, S., & Aro, T. O. (2021) · Studies in Computational Intelligence · doi:10.1007/978-3-030-72236-4_17 · Cited by 58
Prediction of air pollutant concentrations based on the long short-term memory neural network
Wu, Z., Tian, Y., Li, M., Wang, B., Quan, Y., & Liu, J. (2024) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.133099 · Cited by 35
Metadata
- Authors
- Díaz-Robles, L. A., Ortega, J. C., Fu, J. S., Reed, G. D., Chow, J. C., Watson, J. G., & Moncada-Herrera, J. A.
- Venue
- Atmospheric Environment
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 42
- Issue
- 35
- Pages
- 8331-8340
- ISSN
- 1352-2310 (ISSN-L)
- OpenAlex
- W2146848957
- Cited by
- 375
- References
- 39
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile. https://app.cochat.ai/papers/10.1016/j.atmosenv.2008.07.020
- The paper
- Díaz-Robles, L. A., Ortega, J. C., Fu, J. S., Reed, G. D., Chow, J. C., Watson, J. G., & Moncada-Herrera, J. A. (2008). A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile. Atmospheric Environment. https://doi.org/10.1016/j.atmosenv.2008.07.020
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
