The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A novel hybridization of artificial neural networks and ARIMA models for time series forecasting
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Citations
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Bates, J. M., & Granger, C. W. J. (1969) · Journal of the Operational Research Society · doi:10.1057/jors.1969.103 · Cited by 3,201
Efficient market hypothesis and forecasting
Timmermann, A., & Granger, C. W. J. (2004) · International Journal of Forecasting · doi:10.1016/s0169-2070(03)00012-8 · Cited by 517
Cited by
A Comparison of ARIMA and LSTM in Forecasting Time Series
Siami-Namini, S., Tavakoli, N., & Siami Namin, A. (2018) · 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) · doi:10.1109/icmla.2018.00227 · Cited by 1,387
Chong, E., Han, C., & Park, F. C. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.030 · Cited by 834
A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data
Babu, C. N., & Reddy, B. E. (2014) · Applied Soft Computing · doi:10.1016/j.asoc.2014.05.028 · Cited by 503
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Benidis, K., Rangapuram, S. S., Flunkert, V., Wang, Y., Maddix, D., Turkmen, C., Gasthaus, J., Bohlke-Schneider, M., Salinas, D., Stella, L., et al. (2023) · ACM Computing Surveys · doi:10.1145/3533382 · Cited by 382
Shapley additive explanations for NO2 forecasting
Vega García, M., & Aznarte, J. L. (2020) · Ecological Informatics · doi:10.1016/j.ecoinf.2019.101039 · Cited by 346
Metadata
- Authors
- Khashei, M., & Bijari, M.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 11
- Issue
- 2
- Pages
- 2664-2675
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2059804518
- Cited by
- 821
- References
- 4
- FWCI
- 21.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A novel hybridization of artificial neural networks and ARIMA models for time series forecasting. https://app.cochat.ai/papers/10.1016/j.asoc.2010.10.015
- The paper
- Khashei, M., & Bijari, M. (2011). A novel hybridization of artificial neural networks and ARIMA models for time series forecasting. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2010.10.015
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.
