Prediction of temperature performance of a two-phase closed thermosyphon using Artificial Neural Network

Heat and Mass Transfer/Waerme- und Stoffuebertragung

Volumn 49, Issue 1, 2013, Pages 65-73

  Shanbedi, Mehdi ^a   Jafari, Dariush ^a   Amiri, Ahmad ^a   Heris, Saeed Zeinali ^a   Baniadam, Majid ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL CONDITIONS; INPUT POWER; LEVENBERG-MARQUARDT ALGORITHM; MULTI-LAYER PERCEPTRON NETWORKS; NANOFLUIDS; OPERATING PARAMETERS; OUTPUT WATER; PROCESS PERFORMANCE; TEMPERATURE DIFFERENCES; TEMPERATURE PERFORMANCE; TWO-PHASE CLOSED THERMOSYPHON; WALL TEMPERATURES; WEIGHT FRACTIONS;

EXPERIMENTS; LEARNING ALGORITHMS; NEURAL NETWORKS;

FORECASTING;

EID: 84872350750     PISSN: 09477411     EISSN: 14321181     Source Type: Journal    
DOI: 10.1007/s00231-012-1066-y     Document Type: Article

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