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Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms
Authors:He  Ziguang  Nguyen  Hoang  Vu  Thai Ha  Zhou  Jian  Asteris  Panagiotis G  Mammou  Anna
Institution:1.Institute of Architecture Engineering, Huanghuai University, ZhumadianHenan, 463000, China
;2.Hanoi University of Mining and Geology, 18 Vien str., Duc Thang ward, Bac Tu Liem distr., Hanoi, 100000, Vietnam
;3.Innovations for Sustainable and Responsible Mining (ISRM) Group, Hanoi University of Mining and Geology, 18 Vien str., Duc Thang ward, Bac Tu Liem dist., Hanoi, Vietnam
;4.Department of Geodesy, National University of Civil Engineering, Hanoi, 100000, Vietnam
;5.School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
;6.Computational Mechanics Laboratory, School of Pedagogical and Technological Education, 14121, Heraklion, Athens, Greece
;
Abstract:Acta Geotechnica - Soft soils are considered as disadvantages in construction, especially in clay layers. It requires many advanced techniques to treat the soft soils before construction, aiming to...
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