Hybrid neural network and genetic algorithm approach to the prediction of bearing capacity of driven piles

Proceedings of the 6th European Conference on Numerical Methods in Geotechnical Engineering - Numerical Methods in Geotechnical Engineering

Volumn , Issue , 2006, Pages 671-676

  Park, H I ^a   Seok, J W ^a   Hwang, D J ^a  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; BEARINGS (STRUCTURAL); FORECASTING; GENETIC ALGORITHMS; GEOTECHNICAL ENGINEERING; IMAGE CLASSIFICATION; NEURAL NETWORKS; NUMBER THEORY; NUMERICAL METHODS; PILES; WELDS;

AND GENETIC ALGORITHMS; ARTIFICIAL NEURAL NETWORKS; COMPLEX RELATIONSHIPS; DRIVEN PILES; DRIVING CONDITIONS; DYNAMIC LOAD TESTS; GROUND CONDITIONS; HYBRID NEURAL NETWORKS; NEURAL NETWORK MODELS; PREDICTIVE TOOLS;

BEARING CAPACITY;

EID: 56149104527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

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