ARTIFICIAL NEURAL NETWORKS IN LIQUID-LIQUID TWO-PHASE FLOW

Chemical Engineering Communications

Volumn 199, Issue 12, 2012, Pages 1520-1542

  Shirley, R ^a   Chakrabarti, D P ^a   Das, G ^b  

^a UNIVERSITY OF THE WEST INDIES   (Trinidad and Tobago)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Horizontal pipe; Liquid liquid flow; Mean square error; Probabilistic neural network

Indexed keywords

COMPUTATIONAL TOOLS; CONSTRUCTION TIME; FEED-FORWARD BACK PROPAGATION; HORIZONTAL CONDUITS; HORIZONTAL PIPES; KEY VARIABLES; LEARNING VECTOR QUANTIZATION NETWORKS; LIQUID-LIQUID FLOW; LIQUID-LIQUID TWO-PHASE FLOW; OIL-WATER TWO-PHASE FLOW; OVERFITTING; PROBABILISTIC NEURAL NETWORKS; RADIAL BASED FUNCTION; TRAINING DATA; TRANSITION REGIONS;

BACKPROPAGATION; MEAN SQUARE ERROR; RADIAL BASIS FUNCTION NETWORKS; TWO PHASE FLOW; VECTOR QUANTIZATION;

NEURAL NETWORKS;

EID: 84866763128     PISSN: 00986445     EISSN: 15635201     Source Type: Journal    
DOI: 10.1080/00986445.2012.682323     Document Type: Article

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