Modeling and optimization of a trench layer location around a pipeline using artificial neural networks and particle swarm optimization algorithm

Tunnelling and Underground Space Technology

Volumn 40, Issue , 2014, Pages 192-202

  Choobbasti, Asskar Janalizadeh ^a   Tavakoli, Hamidreza ^a   Kutanaei, Saman Soleimani ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks (ANN); Optimal location; Particle swarm optimization algorithm (PSOA); Trench layer

Indexed keywords

DIFFERENTIAL QUADRATURE METHODS; EXCESS PORE PRESSURE; LIQUEFACTION POTENTIALS; LOCAL RADIAL BASIS FUNCTION; MODELING AND OPTIMIZATION; MULTI LAYER PERCEPTRON; OPTIMAL LOCATIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM;

ALGORITHMS; DIFFERENTIATION (CALCULUS); LIQUEFACTION; LOCATION; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PIPELINE CODES; PIPELINES; RADIAL BASIS FUNCTION NETWORKS;

TRENCHING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; LIQUEFACTION; MATHEMATICAL ANALYSIS; MODELING; OPTIMIZATION; PIPELINE; PORE PRESSURE; SEISMIC RESPONSE; SOIL-STRUCTURE INTERACTION; STRUCTURAL ANALYSIS; STRUCTURAL RESPONSE; UNDERGROUND CONSTRUCTION;

EID: 84887381748     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2013.10.003     Document Type: Article

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