A new multi-gene genetic programming approach to non-linear system modeling. part ii: Geotechnical and earthquake engineering problems

Neural Computing and Applications

Volumn 21, Issue 1, 2012, Pages 189-201

  Gandomi, Amir Hossein ^a   Alavi, Amir Hossein ^b  

^a The University of Akron   (United States)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Data mining; Formulation; Geotechnical engineering; Multi gene genetic programming

Indexed keywords

CLASSICAL TECHNIQUES; COMPLEX BEHAVIOR; DRILLED SHAFT; EARTHQUAKE ENGINEERING; ENGINEERING DESIGN; FORMULATION; GEOTECHNICAL; LATERAL LOAD CAPACITY; MODEL STRUCTURE SELECTION; MULTI VARIABLES; NUMERICAL EXAMPLE; PREDICTION EQUATIONS; SIDE RESISTANCE; SIMPLIFYING ASSUMPTIONS; SOFT COMPUTING TOOLS; TRAINING DATA; UNDRAINED;

CIVIL ENGINEERING; DATA MINING; EARTHQUAKES; ENGINEERING; ENGINEERING GEOLOGY; GENES; LINEAR SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; SOFT COMPUTING; SOIL LIQUEFACTION;

GENETIC PROGRAMMING;

EID: 84856002704     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0735-y     Document Type: Article

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