Deep Learning for Prediction of Unconfined Compressive Strength Depending on Various Geotechnical Characteristics of some Soils of Boroughs of Sulaymaniyah City, Iraq Using H2O-ANN

Research Square 2026 Preprint Open access

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Authors: Professor Nihad Bahaaldeen Salih, Peshawa Bakhtyar Salih Ahmed, Tavga Aram Abdalla
DOI: 10.21203/rs.3.rs-8809072/v1
Cited by: 0
References: 19

Fields of Study & Subjects

Geotechnical and construction materials studies Geotechnical Engineering and Soil Mechanics Geotechnical Engineering and Soil Stabilization

Publication details

Journal / source
Research Square
Publication date
13 February 2026
Language
EN
Document type
Preprint