Using hybrid machine learning for predicting the California bearing ratio based on adaptive neuro-fuzzy inference system
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/s41939-023-00279-1.pdf
Reference37 articles.
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3. Asteris PG, Skentou AD, Bardhan A, Samui P, Lourenço PB (2021) Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. Constr Build Mater 303:124450
4. Avci E (2008) Comparison of wavelet families for texture classification by using wavelet packet entropy adaptive network based fuzzy inference system. Appl Soft Comput 8(1):225–231
5. Bhatt S, Jain PK, Pradesh M (2014) Prediction of California bearing ratio of soils using artificial neural network. Am Int J Res Sci Technol Eng Math 8(2):156–161
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