A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method

Neural Computing and Applications

Volumn 20, Issue 8, 2011, Pages 1321-1332

  Aminian, Pejman ^a   Javid, Mohamad Reza ^b   Asghari, Abazar ^c   Gandomi, Amir Hossein ^d   Esmaeili, Milad Arab ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b Tehran Municipality's Beautification Organization   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

^d TAFRESH UNIVERSITY   (Iran)

Author keywords

Base shear; Genetic programming; Nonlinear modeling; Simulated annealing; Steel frame structures

Indexed keywords

BASE SHEAR; DETERMINISTIC ANALYSIS; EARTHQUAKE LOAD; EMPIRICAL MODEL; HYBRID METHOD; INFLUENCING PARAMETERS; NETWORK-BASED; NONLINEAR MODELING; PARAMETRIC ANALYSIS; PREDICTION PERFORMANCE; PREDICTIVE MODELS; SIMULATED ANNEALING METHOD; SOIL TYPES; STEEL FRAME; STEEL FRAME STRUCTURES;

COMPUTER SIMULATION; FINITE ELEMENT METHOD; GENETIC PROGRAMMING; NEURAL NETWORKS; SENSITIVITY ANALYSIS; STEEL CONSTRUCTION; STRUCTURAL FRAMES;

SIMULATED ANNEALING;

EID: 80054095578     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0689-0     Document Type: Article

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