Predictive modeling of shear strength in fly ash-stabilized clayey soils using artificial neural networks and support vector regression
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s42107-024-01167-w.pdf
Reference54 articles.
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3. Alisha, S. S., Nagaraju, T. V., Murty, P. S. R., Sarma, V., & Sireesha, M. (2023). Strength and stiffness prediction models of expansive clays blended with sawdust ash. IOP Conference Series: Materials Science and Engineering, 1273(1), 012018. https://doi.org/10.1088/1757-899x/1273/1/012018
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5. Fedakar, H. G. and H. Í (2017). On the prediction of unconfined compressive strength of silty soil stabilized with bottom ash, jute and steel fibers via artificial intelligence. Geomechanics and Engineering, 12(3), 441–464. https://doi.org/10.12989/gae.2017.12.3.441
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