Fuzzy Constrained Inversion of Magnetotelluric Data Using Guided Fuzzy C-Means Clustering
Author:
Funder
The Key National Research Project of China
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
http://link.springer.com/content/pdf/10.1007/s10712-020-09628-y.pdf
Reference83 articles.
1. Avdeev D, Avdeeva A (2009) 3D magnetotelluric inversion using a limited-memory quasi-newton optimization. Geophysics 74:F45–F57
2. Ayvaz MT (2007) Simultaneous determination of aquifer parameters and zone structures with fuzzyc-means clustering and meta-heuristic harmony search algorithm. Adv Water Resour 30:2326–2338. https://doi.org/10.1016/j.advwatres.2007.05.009
3. Ayvaz MT, Karahan H, Aral MM (2007) Aquifer parameter and zone structure estimation using kernel-based fuzzy c-means clustering and genetic algorithm. J Hydrol 343:240–253. https://doi.org/10.1016/j.jhydrol.2007.06.018
4. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York
5. Bezdek JC, Ehrlich R, Full W (1984) FCM: The fuzzy c-means clustering algorithm. Comput Geosci 10:191–203. https://doi.org/10.1016/0098-3004(84)90020-7
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