An improved LSSVM discrimination model based on factor analysis and moth flame optimization algorithm for identifying water inrush sources across multiple aquifers in mines
Author:
Funder
Doctoral Research Initiation Fund of Suzhou University
the Anhui Provincial Department of Education University Research Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12665-024-11736-6.pdf
Reference74 articles.
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3. Baghban A, Bahadori A, Mohammadi AH, Behbahaninia A (2017) Prediction of CO2 loading capacities of aqueous solutions of absorbents using different computational schemes. Int J Greenhouse Gas Control 57:143–161. https://doi.org/10.1016/j.ijggc.2016.12.010
4. Bekkar M, Djemaa HK, Alitouche TA (2013) Evaluation measures for models assessment over imbalanced data sets. J Inf Eng Appl 3(10):15
5. Bi YL, Ren XN, Peng D, Yang GL, Zhang LS, Wang XD (2013) Identification of adulteration of sesame oils using least squares support vector machine coupled with particle swarm optimization and partial least squares. Chin J Anal Chem 41(09):1366–1372. https://doi.org/10.3724/SP.J.1096.2013.21110
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