The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A comparison of artificial neural network and time series models for forecasting commodity prices
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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
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
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Introduction to the theory of neural computation
(1994) · Neural Networks · doi:10.1016/0893-6080(94)90014-0 · Cited by 6,401
Predicting chaotic time series
Farmer, J. D., & Sidorowich, J. J. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.845 · Cited by 1,929
Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
Tam, K. Y., & Kiang, M. Y. (1992) · Management Science · doi:10.1287/mnsc.38.7.926 · Cited by 1,118
Chaos and Nonlinear Dynamics: Application to Financial Markets
HSIEH, D. A. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04646.x · Cited by 1,046
A neural network model for bankruptcy prediction
Odom, M. D., & Sharda, R. (1990) · 1990 IJCNN International Joint Conference on Neural Networks · doi:10.1109/ijcnn.1990.137710 · Cited by 843
Nonlinear Dynamics and Stock Returns
Scheinkman, J. A., & LeBaron, B. (1989) · The Journal of Business · doi:10.1086/296465 · Cited by 772
Cited by
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
Short-term electricity prices forecasting in a competitive market: A neural network approach
Catalão, J. P. S., Mariano, S. J. P. S., Mendes, V. M. F., & Ferreira, L. A. F. M. (2007) · Electric Power Systems Research · doi:10.1016/j.epsr.2006.09.022 · Cited by 406
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study
Cheng, C., Sa-Ngasoongsong, A., Beyca, O., Le, T., Yang, H., Kong, Z. (., & Bukkapatnam, S. T. S. (2015) · IIE Transactions · doi:10.1080/0740817x.2014.999180 · Cited by 287
Forecasting the Suez Canal traffic: A neural network analysis
Mostafa, M. M. (2004) · Maritime Policy & Management · doi:10.1080/0308883032000174463 · Cited by 72
Metadata
- Authors
- Kohzadi, N., Boyd, M. S., Kermanshahi, B., & Kaastra, I.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 1996-03
- Volume
- 10
- Issue
- 2
- Pages
- 169-181
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2146552111
- Cited by
- 293
- References
- 29
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A comparison of artificial neural network and time series models for forecasting commodity prices. https://app.cochat.ai/papers/10.1016/0925-2312(95)00020-8
- The paper
- Kohzadi, N., Boyd, M. S., Kermanshahi, B., & Kaastra, I. (1996). A comparison of artificial neural network and time series models for forecasting commodity prices. Neurocomputing. https://doi.org/10.1016/0925-2312(95)00020-8
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.
