Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00231-3.pdf
Reference48 articles.
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3. Akan R, Keskin SN (2019) The effect of data size of ANFIS and MLR models on prediction of unconfined compression strength of clayey soils. SN Appl Sci 1(8):843
4. Akan R, Keskin SN, Uzundurukan S (2015) Multiple regression model for the prediction of unconfined compressive strength of jet grout columns. Procedia Earth Planet Sci 15:299–303
5. Al-Hamed S, Wahby M, Al-Sulaiman M, Aboukarima A (2014) Prediction of soil fractions (sand, silt and clay) in surface layer based on natural radionuclides concentration in the soil using adaptive neuro fuzzy inference system. Open J Soil Sci 4(07):215
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