A neural network model for the numerical prediction of the diameter of electro-spun polyethylene oxide nanofibers

Journal of Materials Processing Technology

Volumn 209, Issue 7, 2009, Pages 3156-3165

  Sarkar, Kamal ^a   Ghalia, Mounir Ben ^a   Wu, Zhenhua ^a   Bose, Subhash C ^a  

^a UNIVERSITY OF TEXAS PAN AMERICAN   (United States)

Author keywords

Electrospinning; Fiber diameter; Neural networks; Prediction

Indexed keywords

COMPUTER NETWORKS; ELECTRIC FIELDS; ELECTROSPINNING; FIBERS; NANOFIBERS; POLYETHYLENE GLYCOLS; POLYETHYLENE OXIDES; STATISTICAL TESTS; THERMOPLASTICS;

AQUEOUS SOLUTIONS; CONFIDENCE INTERVALS; CONTROL TECHNIQUES; CROSS-VALIDATION TECHNIQUES; DATA SETS; ELECTRIC FIELD STRENGTHS; ELECTROSPINNING PROCESS; EXPERIMENTAL DATUM; FIBER DIAMETER; INPUT VARIABLES; NETWORK MODELS; NEURAL NETWORK MODELS; NON-LINEAR MAPPINGS; NUMERICAL PREDICTIONS; PREDICTION; STATISTICAL STUDIES; TRAINING AND TESTING;

NEURAL NETWORKS;

EID: 62949093616     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2008.07.032     Document Type: Article

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