کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9623716 | 456567 | 2005 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling of an RO water desalination unit using neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
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چکیده انگلیسی
In this paper, a feedforward neural network (NN) model is developed to predict the performance of a reverse osmosis (RO) experimental setup, which uses a FilmTec SW30 membrane. Sixty-three experimental data were generated for training and testing the network. The considered ranges of operating conditions were chosen so as to include those encountered in a large number of the worldwide brackish water and seawater RO plants. The NN was fed with three inputs: the feed pressure, temperature and salt concentration to predict the water permeate rate. The fast Levenberg-Marquardt (LM) optimization technique was employed for training the NN. The network learned the input-output mappings with accuracy for interpolation cases, but not for extrapolation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Journal - Volume 114, Issues 1â3, 15 November 2005, Pages 139-143
Journal: Chemical Engineering Journal - Volume 114, Issues 1â3, 15 November 2005, Pages 139-143
نویسندگان
Abderrahim Abbas, Nader Al-Bastaki,