Application of ANN and RSM techniques for modeling electrospinning process of polycaprolactone

Due to increasing application of nanofibers in many research fields, comprehensive knowledge of the electrospinning process as the most popular method of fiber production is essential. Modeling techniques are valuable tools for managing contributing factors in the electrospinning process, prior to t...

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Veröffentlicht in:	Neural computing & applications 2019-01, Vol.31 (1), p.239-248
Hauptverfasser:	Khatti, Tahere, Naderi-Manesh, Hossein, Kalantar, Seyed Mehdi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Back propagation Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Electrospinning Image Processing and Computer Vision Mathematical models Model accuracy Multilayer perceptrons Nanofibers Neural networks Nozzles Original Article Parameters Performance prediction Polycaprolactone Probability and Statistics in Computer Science Regression analysis Regression coefficients Response surface methodology Root-mean-square errors Scaffolds
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