Performance enhancement for masonry creep predicting model using recurrent neural networks

Engineering Intelligent Systems

Volumn 17, Issue 1, 2009, Pages 29-38

  El Shafie, Ahmed ^a   Noureldin, Aboelmagd ^b   Taha, M Reda ^c   Hussain, Aini ^a   Basri, Hassan ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b ROYAL MILITARY COLLEGE OF CANADA   (Canada)

^c MSC01 1070   (United States)

Author keywords

Masonry creep; Prediction model; Recurrent neural network

Indexed keywords

ACCURACY LEVEL; CREEP PREDICTION; CREEP STRAIN; ITS ARCHITECTURE; MASONRY CREEP; MASONRY STRUCTURES; NON-LINEAR RELATIONSHIPS; PERFORMANCE ENHANCEMENTS; PREDICTING MODELS; QUASIBRITTLE MATERIAL; RELATIVE HUMIDITIES; STRESS LEVELS; STRUCTURAL MASONRY; SUSTAINED LOADS; TIME-DEPENDENT; TIME-DEPENDENT PROCESS; VISCO-ELASTIC; VISCOELASTIC PROPERTIES;

ATMOSPHERIC HUMIDITY; BRITTLENESS; CEMENTS; CREEP; FOUNDATIONS; MASONRY MATERIALS; MATHEMATICAL MODELS; REINFORCEMENT LEARNING; STRESS ANALYSIS;

RECURRENT NEURAL NETWORKS;

EID: 75149152870     PISSN: 14728915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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