An evolutionary-based data mining technique for assessment of civil engineering systems

Engineering Computations (Swansea, Wales)

Volumn 25, Issue 6, 2008, Pages 500-517

  Rezania, Mohammad ^a   Javadi, Akbar A ^a   Giustolisi, Orazio ^b,c  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b POLITECNICO DI BARI   (Italy)

^c Faculty of Engineering   (Italy)

Author keywords

Civil engineering; Data mining; Modelling; Polynomials

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; BUILDING MATERIALS; CHLORINE COMPOUNDS; CIVIL ENGINEERING; DATA MINING; DATA STRUCTURES; DECISION SUPPORT SYSTEMS; ELECTRON RESONANCE; ELECTRON SPIN RESONANCE SPECTROSCOPY; ENGINEERING; FOOD PROCESSING; GENETIC ALGORITHMS; INFORMATION MANAGEMENT; LEAST SQUARES APPROXIMATIONS; MINING; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; POLYNOMIALS; PRESSURE VESSELS; QUANTUM THEORY; REINFORCED CONCRETE; SEARCH ENGINES; SHEAR STRENGTH; TECHNOLOGY;

ARTIFICIAL NEURAL NETWORK; DATA-DRIVEN; DESIGN/METHODOLOGY/APPROACH; ENGINEERING PROBLEMS; ENGINEERING SYSTEMS; EVOLUTIONARY COMPUTING; LEAST SQUARES METHODS; MODELLING; NEW APPROACHES; NON-LINEAR INTERACTIONS; POLYNOMIAL REGRESSIONS; REINFORCED CONCRETE DEEP BEAMS; SIMPLIFYING ASSUMPTIONS; SUCTION CAISSONS; UPLIFT CAPACITY;

PARAMAGNETIC RESONANCE;

EID: 49149128168     PISSN: 02644401     EISSN: None     Source Type: Journal    
DOI: 10.1108/02644400810891526     Document Type: Article

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