A new multi-gene genetic programming approach to nonlinear system modeling. Part I: Materials and structural engineering problems

Neural Computing and Applications

Volumn 21, Issue 1, 2012, Pages 171-187

  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; Multi gene genetic programming; Structural engineering

Indexed keywords

BEHAVIORAL MODELING; CIRCULAR TUBES; END-MILLING; FORMULATION; HIGH-PERFORMANCE CONCRETE; LINEAR COMBINATIONS; MODEL STRUCTURE SELECTION; NON-LINEAR TRANSFORMATIONS; NONLINEAR INTERACTIONS; NONLINEAR SYSTEM MODELING; PREDICTOR VARIABLES; PURE BENDING; SIMPLIFYING ASSUMPTIONS;

BENDING (FORMING); COMPRESSIVE STRENGTH; DATA MINING; GENES; LINEAR TRANSFORMATIONS; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; PARAMETER ESTIMATION; STRUCTURAL DESIGN; SURFACE ROUGHNESS;

GENETIC PROGRAMMING;

EID: 84855986175     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0734-z     Document Type: Article

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