Artificial neural network analysis of liquid desiccant dehumidifier performance in a solar hybrid air-conditioning system

Applied Thermal Engineering

Volumn 59, Issue 1-2, 2013, Pages 389-397

  Mohammad, Abdulrahman Th ^a,b   Mat, Sohif Bin ^a   Sulaiman, M Y ^a   Sopian, K ^a   Al Abidi, Abduljalil A ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b FOUNDATION OF TECHNICAL EDUCATION   (Iraq)

Author keywords

ANN; Dehumidifier; Desiccant; Effectiveness

Indexed keywords

ANN; DEHUMIDIFIER; DESICCANT; EFFECTIVENESS; INLET HUMIDITY RATIO; LIQUID DESICCANT AIR-CONDITIONING; MULTILAYER ARTIFICIAL NEURAL NETWORKS; TECHNICAL FEASIBILITY;

AIR CONDITIONING; CHLORINE COMPOUNDS; HUMIDITY CONTROL; LIQUIDS; MOISTURE; NEURAL NETWORKS;

DRIERS (MATERIALS);

EID: 84879823361     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2013.06.006     Document Type: Article

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