Performance prediction for a parallel flow condenser based on artificial neural network

Applied Thermal Engineering

Volumn 63, Issue 1, 2014, Pages 459-467

  Tian, Z ^a   Gu, B ^a   Yang, L ^a   Liu, F ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

Author keywords

Artificial neural network; Distributed parameter model; Parallel flow condenser; Performance prediction

Indexed keywords

AIR INLET TEMPERATURE; CORRELATION COEFFICIENT; DISTRIBUTED-PARAMETER MODEL; HEAT EXCHANGE CAPACITIES; PERFORMANCE PREDICTION; REFRIGERANT TEMPERATURE; ROOT MEAN SQUARE ERRORS; STEADY-STATE CONDITION;

MEAN SQUARE ERROR; NEURAL NETWORKS; PARALLEL FLOW; REFRIGERANTS;

FORECASTING;

EID: 84890535411     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2013.10.060     Document Type: Article

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