The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Generation of Fuzzy Rules by Mountain Clustering
Abstract
We develop, based upon the mountain clustering method, a procedure for learning fuzzy systems models from data. First we discuss the mountain clustering method. We then show how it could be used to obtain the structure of fuzzy systems models. The initial estimates of this model are obtained from the cluster centers. We then use a back propagation algorithm to tune the model.
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Cites
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
Wang, L.-X., & Mendel, J. M. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159070 · Cited by 2,796
Neural Networks and Fuzzy Systems
Kosko, B., & Burgess, J. C. (1998) · The Journal of the Acoustical Society of America · doi:10.1121/1.423096 · Cited by 2,356
Back-propagation fuzzy system as nonlinear dynamic system identifiers
Wang, L.-X., & Mendel, J. M. (2003) · [1992 Proceedings] IEEE International Conference on Fuzzy Systems · doi:10.1109/fuzzy.1992.258711 · Cited by 450
Cited by
SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network
de Jesus Rubio, J. (2009) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2009.2029569 · Cited by 346
Systematic Functional Annotation and Visualization of Biological Networks
Baryshnikova, A. (2016) · Cell Systems · doi:10.1016/j.cels.2016.04.014 · Cited by 148
Metadata
- Authors
- Yager, R. R., & Filev, D. P.
- Venue
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Published
- 1994-08
- Volume
- 2
- Issue
- 3
- Pages
- 209-219
- ISSN
- 1064-1246 (ISSN-L)
- 1875-8967
- OpenAlex
- W1542813816
- Cited by
- 667
- References
- 3
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yager, R. R., & Filev, D. P. (1994). Generation of Fuzzy Rules by Mountain Clustering. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/ifs-1994-2301
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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.
