Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil — Duc Dam Nguyen (2022) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil
Shared by
Panagiotis Asteris
Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil
Article
2022
en
Authors
+6 more
DN
Duc Dam Nguyen
PR
Panayiotis C. Roussis
BP
Binh Thai Pham
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2006
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence
Sung-Kwun Oh
,
Witold Pedrycz
,
Byoung‐Jun Park
Article
2022
A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index
Abidhan Bardhan
,
Navid Kardani
,
Abdel Kareem Alzo’ubi
,
Pijush Samui
,
Amir Gandomi
,
Candan Gökçeoğlu
Archives of Computational Methods in Engineering
Article
2025
Innovative LSTM-transformer hybrid models for predicting consolidation settlement
Seongho Hong
,
Taek-Kyu Chung
,
Byeong-Soo Yoo
,
Sung‐Ryul Kim
Article
2026
Assessment of Swelling Characteristics of Fibre-reinforced Expansive Soil using Bayesian Optimized-machine Learning Models
Billal Sari-Ahmed
,
Ali Benzaamia
,
Mohamed Ghrici
,
Jitendra Khatti
,
Panagiotis Asteris
Article
2026
Predicting fracture energy and durability parameters of concrete through hybrid machine learning models
Assa Rezzoug
,
Mounir Ltifi
,
Raid S. Alrashidi
,
Ali Alateah
Discussion(0)
No comments yet. Be the first to comment.