New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization

Engineering Geology

Volumn 117, Issue 1-2, 2011, Pages 29-38

  Kalinli, Adem ^a   Acar, M Cemal ^a   Gündüz, Zeki ^b  

^a ERCIYES UNIVERSITY   (Turkey)

^b SAKARYA UNIVERSITY   (Turkey)

Author keywords

Ant colony optimization; Neural network; Shallow foundations; Ultimate bearing capacity

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANT-COLONY OPTIMIZATION; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; FUZZY INFERENCE SYSTEMS; GRANULAR SOILS; NEURAL MODELS; NEW APPROACHES; PARALLEL ANT COLONY OPTIMIZATION; PREDICTION METHODS; SHALLOW FOUNDATIONS; SIMULATION RESULT; ULTIMATE BEARING CAPACITY;

ALGORITHMS; BEARINGS (STRUCTURAL); FOUNDATIONS; FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; OPTIMIZATION;

BEARING CAPACITY;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BEARING CAPACITY; COMPUTER SIMULATION; FOUNDATION; FUZZY MATHEMATICS; NUMERICAL MODEL; OPTIMIZATION; SOIL-STRUCTURE INTERACTION;

EID: 78650569194     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2010.10.002     Document Type: Article

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