کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5409677 | 1506550 | 2016 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new model for prediction of binary mixture of ionic liquids + water density using artificial neural network
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This study highlights the application of artificial neural network for prediction of density values in a binary mixture of water and ionic liquids at different temperature for different imidazolium-based ionic liquids. Two intelligent models named multilayer perceptron model and radial basis function model were developed and the accuracy of two models was examined by different graphical and statistical methods. The input parameters were temperature, water/ionic liquid ratio, molecular weight, critical temperature, critical pressure and boiling point temperature of ionic liquids and the model output was density. The molecular weight, critical temperature, critical pressure and boiling point temperature were used to discriminate among different ionic liquids. Results showed that the both models are accurate and effective in prediction of density of ionic liquid + water mixture. However, based on graphical and statistical representations, the multilayer perceptron model exhibits better performance and is superior compared to radial basis function model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Liquids - Volume 220, August 2016, Pages 232-237
Journal: Journal of Molecular Liquids - Volume 220, August 2016, Pages 232-237
نویسندگان
Adel Najafi-Marghmaleki, Mohammad Reza Khosravi-Nikou, Ali Barati-Harooni,