A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

Binh Thai Pham; Chongchong Qi; Lanh Si Ho; Trung Nguyen-Thoi; Nadhir Al-Ansari; Manh Duc Nguyen; Huu Duy Nguyen; Hai-Bang Ly; Hiep Van Le; Indra Prakash

Năm xuất bản2020

Nguồn học thuậtSustainability

Định danhDOI 10.3390/su12062218

TRÍCH DẪN ĐỀ XUẤT

Binh Thai Pham; Chongchong Qi; Lanh Si Ho; Trung Nguyen-Thoi; Nadhir Al-Ansari; Manh Duc Nguyen; Huu Duy Nguyen; Hai-Bang Ly; Hiep Van Le; Indra Prakash (2020). A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil. Sustainability, 12(6), 2218. https://doi.org/10.3390/su12062218

Thông tin thư mục

Nguồn/Tạp chí: Sustainability
Tập: 12
Số: 6
Trang: 2218
Nhà xuất bản: MDPI AG
DOI: 10.3390/su12062218 ↗

Từ khóa

Particle swarm optimization; Mean squared error; Atterberg limits; Void ratio; Water content; Geotechnical engineering; Shear strength (soil); Correlation coefficient; Environmental science; Approximation error; Computer science; Soil science; Mathematics; Algorithm; Engineering; Soil water; Statistics; Machine learning