Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networks. Khanlou, H. M., Sadollah, A., Ang, B. C., Kim, J., Talebian, S., & Ghadimi, A. Neural Computing and Applications, 25(3-4):767-777, 2014.
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Paper bibtex @article{journals/nca/KhanlouSAKTG14,
added-at = {2014-09-03T00:00:00.000+0200},
author = {Khanlou, Hossein Mohammad and Sadollah, Ali and Ang, Bee Chin and Kim, Joong-Hoon and Talebian, Sepehr and Ghadimi, Azadeh},
biburl = {https://www.bibsonomy.org/bibtex/2b05719b62153c40a6538aff02b774ef5/dblp},
ee = {http://dx.doi.org/10.1007/s00521-014-1554-8},
interhash = {df4249827c8356cecb212ca58265dc48},
intrahash = {b05719b62153c40a6538aff02b774ef5},
journal = {Neural Computing and Applications},
keywords = {dblp},
number = {3-4},
pages = {767-777},
timestamp = {2015-06-17T23:33:06.000+0200},
title = {Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networks.},
url = {http://dblp.uni-trier.de/db/journals/nca/nca25.html#KhanlouSAKTG14},
volume = 25,
year = 2014
}
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