Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/de-gruyter/using-an-artificial-neural-network-for-the-evaluation-of-the-sKspf9oHdM
References (24)
-
J. Deitzel, J. Kleinmeyer, D. Harris, N. Tan (2001)
The effect of processing variables on the morphology of electrospun nanofibers and textilesPolymer, 42
-
Li (2006)
bicomponent nanofibers and nanoporous fibersCarbohyd Res
-
Majid Naghibzadeh, Mahdi Adabi (2014)
Evaluation of effective electrospinning parameters controlling gelatin nanofibers diameter via modelling artificial neural networksFibers and Polymers, 15
-
Kamalesh Sarkar, M. Ghalia, Zhenhua Wu, Subhash Bose (2009)
A neural network model for the numerical prediction of the diameter of electro-spun polyethylene oxide nanofibersJournal of Materials Processing Technology, 209
-
K. Ma, Casey Chan, S. Liao, W. Hwang, Qi Feng, S. Ramakrishna (2008)
Electrospun nanofiber scaffolds for rapid and rich capture of bone marrow-derived hematopoietic stem cells.Biomaterials, 29 13
-
Komeil Nasouri, Hossein Bahrambeygi, A. Rabbi, A. Shoushtari, A. Kaflou (2012)
Modeling and optimization of electrospun PAN nanofiber diameter using response surface methodology and artificial neural networksJournal of Applied Polymer Science, 126
-
Komeil Nasouri, A. Shoushtari, M. Khamforoush (2013)
Comparison between artificial neural network and response surface methodology in the prediction of the production rate of polyacrylonitrile electrospun nanofibersFibers and Polymers, 14
-
U. Boudriot, R. Dersch, A. Greiner, J. Wendorff (2006)
Electrospinning approaches toward scaffold engineering--a brief overview.Artificial organs, 30 10
-
S. Tonzani (2012)
Awards for the best Journal of Applied Polymer Science Referees during 2011Journal of Applied Polymer Science, 126
-
A. Frenot, I. Chronakis (2003)
Polymer nanofibers assembled by electrospinningCurrent Opinion in Colloid and Interface Science, 8
-
A. Rabbi, Komeil Nasouri, Hossein Bahrambeygi, A. Shoushtari, M. Babaei (2012)
RSM and ANN approaches for modeling and optimizing of electrospun polyurethane nanofibers morphologyFibers and Polymers, 13
-
R. Faridi‐Majidi, H. Ziyadi, N. Naderi, A. Amani (2012)
Use of artificial neural networks to determine parameters controlling the nanofibers diameter in electrospinning of nylon‐6,6Journal of Applied Polymer Science, 124
-
C. Thompson, G. Chase, A. Yarin, D. Reneker (2007)
Effects of parameters on nanofiber diameter determined from electrospinning modelPolymer, 48
-
J. Deitzel, J. Kleinmeyer, J. Hirvonen (2001)
Controlled deposition of electrospun poly(ethylene oxide) fibersPolymer, 42
-
Naghibzadeh (2012)
for skin regeneration TrendsArtif Organs, 26
-
D. Katti, Kyle Robinson, F. Ko, C. Laurencin (2004)
Bioresorbable nanofiber-based systems for wound healing and drug delivery: optimization of fabrication parameters.Journal of biomedical materials research. Part B, Applied biomaterials, 70 2
-
(1934)
Process and apparatus for preparing artificial threads -
H. Khanlou, Ali Sadollah, B. Ang, Joon-Hoon Kim, S. Talebian, A. Ghadimi (2014)
Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networksNeural Computing and Applications, 25
-
Majid Naghibzadeh (2012)
Nanofibers for Skin RegenerationTrends in biomaterials & artificial organs, 26
-
N. Naderi, F. Agend, R. Faridi‐Majidi, N. Sharifi-Sanjani, M. Madani (2008)
Prediction of nanofiber diameter and optimization of electrospinning process via response surface methodology.Journal of nanoscience and nanotechnology, 8 5
-
Xinhua Zong, Kwang-sok Kim, D. Fang, S. Ran, B. Hsiao, B. Chu (2002)
Structure and process relationship of electrospun bioabsorbable nanofiber membranesPolymer, 43
-
Lei Li, Y. Hsieh (2006)
Chitosan bicomponent nanofibers and nanoporous fibers.Carbohydrate research, 341 3
-
Majid Naghibzadeh, A. Amani, M. Amini, E. Esmaeilzadeh, Negar Mottaghi-Dastjerdi, M. Faramarzi (2010)
An insight into the interactions between α-tocopherol and chitosan in ultrasound-prepared nanoparticlesJournal of Nanomaterials, 2010
-
Formhals (1934)
Process and apparatus for preparing artificial threads US Patent No
- Publisher
- de Gruyter
- Copyright
- Copyright © 2015 by the
- ISSN
- 2197-4586
- eISSN
- 1618-7229
- DOI
- 10.1515/epoly-2014-0198
- Publisher site
- See Article on Publisher Site
Abstract
Abstract The purpose of this study was to investigate the validity of an artificial neural network (ANN) method in the prediction of nanofiber diameter to assess the parameters involved in controlling fiber form and thickness. A mixture of polymers including poly(vinyl alcohol) (PVA) and chitosan (CS) at different ratios was chosen as the nanofiber base material. The various samples of nanofibers were fabricated as training and testing datasets for ANN modeling. Different networks of ANN were designed to achieve the purposes of this study. The best network had three hidden layers with 8, 16 and 5 nodes in each layer, respectively. The mean squared error and correlation coefficient between the observed and the predicted diameter of the fibers in the selected model were equal to 0.09008 and 0.93866, respectively, proving the efficacy of the ANN technique in the prediction process. Finally, three-dimensional graphs of the electrospinning parameters involved and nanofiber diameter were plotted to scrutinize the implications.
Journal
e-Polymers – de Gruyter
Published: Mar 1, 2015