The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Prediction of rainfall time series using modular soft computingmethods
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Citations
Cites
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
Legates, D. R., & McCabe, G. J. (1999) · Water Resources Research · doi:10.1029/1998wr900018 · Cited by 4,591
Support Vector Machines for Classification and Regression
Gunn, S. R. (1998) · Cited by 2,820
Singular-spectrum analysis: A toolkit for short, noisy chaotic signals
Vautard, R., Yiou, P., & Ghil, M. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90103-t · Cited by 1,460
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Kecman, V. (2001) · Cited by 1,352
Neural Networks: A Review from a Statistical Perspective
Cheng, B., & Titterington, D. M. (1994) · Statistical Science · doi:10.1214/ss/1177010638 · Cited by 1,048
Hydrological modelling using artificial neural networks
Dawson, C. W., & Wilby, R. L. (2001) · Progress in Physical Geography: Earth and Environment · doi:10.1177/030913330102500104 · Cited by 903
Data-driven modelling: some past experiences and new approaches
Solomatine, D. P., & Ostfeld, A. (2008) · Journal of Hydroinformatics · doi:10.2166/hydro.2008.015 · Cited by 723
The Use of Artificial Neural Networks for the Prediction of Water Quality Parameters
Maier, H. R., & Dandy, G. C. (1996) · Water Resources Research · doi:10.1029/96wr03529 · Cited by 572
Support vector regression for real-time flood stage forecasting
Yu, P.-S., Chen, S.-T., & Chang, I.-F. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2006.01.021 · Cited by 568
Bowden, G. J., Dandy, G. C., & Maier, H. R. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2004.06.021 · Cited by 530
Cited by
Feng, Z.-K., Liu, S., Niu, W.-J., Liu, Y., Luo, B., Miao, S.-M., & Wang, S. (2019) · IEEE Access · doi:10.1109/access.2019.2949582 · Cited by 20
Metadata
- Authors
- Wu, C. L., & Chau, K. W.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 26
- Issue
- 3
- Pages
- 997-1007
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2049387654
- Cited by
- 310
- References
- 43
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Wu, C. L., & Chau, K. W. (2013). Prediction of rainfall time series using modular soft computingmethods. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2012.05.023
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.
