Predictive models for mechanical properties of expanded polystyrene (EPS) geofoam using regression analysis and artificial neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07014-w.pdf
Reference68 articles.
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2. Abdelsalam SS, Azzam SA (2016) Reduction of lateral pressures on retaining walls using geofoam inclusion. Geosyn Int 23–6:395–407
3. İkizler SB, Vekli M, Dogan E, Aytekin M, Kocabas F (2014) Prediction of swelling pressures of expansive soils using soft computing methods. Neural Comput Appl 24:473–485. https://doi.org/10.1007/s.00521-012-1254-1
4. Özer T (2016) Laboratory study on the use of EPS-block geofoam for embankment widening. Geosynth Int 23–2:71–85. https://doi.org/10.1680/jgein.15.00033
5. Akay O (2016) Slope stabilization using EPS block geofoam with internal drainage system. Geosyn Int 23–1:9–22
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