New approach to designing multilayer feedforward neural network architecture for modeling nonlinear restoring forces. II: Applications

Journal of Engineering Mechanics

Volumn 132, Issue 12, 2006, Pages 1301-1312

  Pei, Jin Song ^a   Smyth, Andrew W ^b  

^a University of Oklahoma   (United States)

^b Department of Earth and Environmental Sciences   (United States)

Author keywords

Design; Dynamic response; Models; Neural networks; Parameters

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DEGREES OF FREEDOM (MECHANICS); FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS;

NEURAL NETWORK ARCHITECTURE; NONLINEAR RESTORING FORCES; STRUCTURAL DYNAMIC RESPONSE;

DYNAMIC RESPONSE;

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DEGREES OF FREEDOM (MECHANICS); DYNAMIC RESPONSE; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DYNAMIC RESPONSE; FORCE; NETWORK DESIGN; NONLINEARITY;

EID: 33751071584     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9399(2006)132:12(1301)     Document Type: Article

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