Natural gas pipeline corrosion rate prediction model based on BP neural network

Advances in Intelligent and Soft Computing

Volumn 147 AISC, Issue , 2012, Pages 449-455

  Ren, Chi Yuan ^a   Qiao, Wei ^b   Tian, Xin ^a  

^a SOUTHWEST PETROLEUM UNIVERSITY   (China)

^b Gas Transportation Department   (China)

Author keywords

BP neural network; corrosion rate; internal corrosion; natural gas pipeline; prediction model

Indexed keywords

BP NEURAL NETWORKS; EXPLOSIVE MATERIALS; EXTERNAL CORROSION; FAST CONVERGENCE; FITTING PRECISION; GAS PIPELINE CORROSION; INPUT PARAMETER; INTERNAL CORROSION; LONG DISTANCE PIPELINES; OUTPUT PARAMETERS; PREDICTION ACCURACY; PREDICTION MODEL; RATE PREDICTIONS;

FORECASTING; MATHEMATICAL MODELS; NATURAL GAS PIPELINES; NEURAL NETWORKS; REYNOLDS NUMBER;

CORROSION RATE;

EID: 84865608435     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-28592-9_47     Document Type: Conference Paper

References (6)

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