Prediction of water retention capacity of hydrolysed electrospun polyacrylonitrile fibers using statistical model and artificial neural network

Journal of Applied Polymer Science

Volumn 113, Issue 5, 2009, Pages 3397-3404

  Dev, Venkateshwarapuram Rengaswami Giri ^a,b   Venugopal, Jayarama Reddy ^a   Senthilkumar, Muthusamy ^a   Gupta, Deepika ^c   Ramakrishna, Seeram ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b ANNA UNIVERSITY   (India)

^c PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Electrospinning; Hydrolysis; Nanofibers; Neural network; Statistical model

Indexed keywords

ALKALI CONCENTRATIONS; ARTIFICIAL NEURAL NETWORK; CONCENTRATION OF; ELECTROSPUN; FIBER DIAMETERS; MEAN FLOW; NANOFIBROUS MEMBRANES; POLYACRYLONITRILE FIBER; PORE DIAMETERS; PROCESS VARIABLES; PROCESSING CONDITION; SEM IMAGE; SODIUM HYDROXIDES; STATISTICAL MODEL; STATISTICAL MODELS; WATER RETENTION CAPACITY;

BACKPROPAGATION; ELECTROSPINNING; FIBERS; HYDROLYSIS; NANOFIBERS; SODIUM;

NEURAL NETWORKS;

ABSORPTION; ELECTROSPINNING; FIBER DIAMETER; FLOW RATE; HYDROLYSIS; MANUFACTURED FIBER; NEURAL NETWORK; POLYACRYLONITRILE; STATISTICAL ANALYSIS;

EID: 67649990847     PISSN: 00218995     EISSN: 10974628     Source Type: Journal    
DOI: 10.1002/app.30059     Document Type: Article

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