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

Journal of Engineering Mechanics

Volumn 132, Issue 12, 2006, Pages 1290-1300

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

^a University of Oklahoma   (United States)

^b Columbia Univ ^*  (United States)

Author keywords

Geometry; Hysteresis; Mathematics; Models; Neural networks

Indexed keywords

COMPUTATIONAL GEOMETRY; FEEDFORWARD NEURAL NETWORKS; HYSTERESIS; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; MULTILAYER NEURAL NETWORKS;

HYSTERETIC DYNAMIC BEHAVIORS; HYSTERETIC RESTORING FORCES; NEURAL NETWORK ARCHITECTURE; NONLINEAR RESTORING FORCES; STRUCTURAL MECHANICS;

DYNAMICS;

COMPUTATIONAL GEOMETRY; DYNAMICS; FEEDFORWARD NEURAL NETWORKS; HYSTERESIS; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; FORCE; HYSTERESIS; MODELING; NETWORK DESIGN; NONLINEARITY;

EID: 33751081518     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9399(2006)132:12(1290)     Document Type: Article

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