Fatigue life prediction of composite materials using polynomial classifiers and recurrent neural networks

Composite Structures

Volumn 77, Issue 4, 2007, Pages 561-569

  Al Assaf, Yousef ^a   Kadi, Hany El ^a  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

Artificial neural networks; Composite materials; Fatigue; Polynomial classifiers

Indexed keywords

COMPRESSIVE STRENGTH; FATIGUE OF MATERIALS; FEEDFORWARD NEURAL NETWORKS; LAMINATED COMPOSITES; MATHEMATICAL MODELS; POLYNOMIALS; RECURRENT NEURAL NETWORKS; TENSILE PROPERTIES;

FIBER ORIENTATION ANGLE; POLYNOMIAL CLASSIFIER; TENSION-COMPRESSION LOADING; TENSION-TENSION LOADING;

GLASS FIBER REINFORCED PLASTICS;

COMPOSITE; COMPOSITE PROPERTY; EPOXY RESIN; FATIGUE; FIBER ORIENTATION; FIBER REINFORCED COMPOSITE; GLASS FIBER; MATHEMATICAL MODEL; MECHANICAL PROPERTY; NEURAL NETWORK; PREDICTION;

EID: 33750629216     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruct.2005.08.012     Document Type: Article

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