The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Landslide displacement prediction based on multivariate chaotic model and extreme learning machine
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Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Extreme learning machine: Theory and applications
Huang, G.-B., Zhu, Q.-Y., & Siew, C.-K. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.12.126 · Cited by 13,285
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Determining Lyapunov exponents from a time series
Wolf, A., Swift, J. B., Swinney, H. L., & Vastano, J. A. (1985) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(85)90011-9 · Cited by 9,499
Characterization of Strange Attractors
Grassberger, P., & Procaccia, I. (1983) · Physical Review Letters · doi:10.1103/physrevlett.50.346 · Cited by 4,857
A practical method for calculating largest Lyapunov exponents from small data sets
Rosenstein, M. T., Collins, J. J., & De Luca, C. J. (1993) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(93)90009-p · Cited by 3,486
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
MIN, J., & LEE, Y. (2005) · Expert Systems with Applications · doi:10.1016/j.eswa.2004.12.008 · Cited by 871
Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning
Feng, G., Huang, G.-B., Lin, Q., & Gay, R. (2009) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2009.2024147 · Cited by 654
Comparison of short-term rainfall prediction models for real-time flood forecasting
Toth, E., Brath, A., & Montanari, A. (2000) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00344-9 · Cited by 493
Cited by
Huang, F., Zhang, J., Zhou, C., Wang, Y., Huang, J., & Zhu, L. (2020) · Landslides · doi:10.1007/s10346-019-01274-9 · Cited by 444
Self-citationChang, Z., Du, Z., Zhang, F., Huang, F., Chen, J., Li, W., & Guo, Z. (2020) · Remote Sensing · doi:10.3390/rs12030502 · Cited by 282
Self-citation
Metadata
- Authors
- Huang, F., Huang, J., Jiang, S., & Zhou, C.
- Venue
- Engineering Geology
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 218
- Pages
- 173-186
- ISSN
- 0013-7952 (ISSN-L)
- OpenAlex
- W2576418105
- Cited by
- 294
- References
- 29
- FWCI
- 40.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Landslide displacement prediction based on multivariate chaotic model and extreme learning machine. https://app.cochat.ai/papers/10.1016/j.enggeo.2017.01.016
- The paper
- Huang, F., Huang, J., Jiang, S., & Zhou, C. (2017). Landslide displacement prediction based on multivariate chaotic model and extreme learning machine. Engineering Geology. https://doi.org/10.1016/j.enggeo.2017.01.016
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.
