کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1640477 1517060 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predictive model based on artificial neural net for purity of perovskite-type SrTiO3 nanocrystalline
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد فلزات و آلیاژها
پیش نمایش صفحه اول مقاله
Predictive model based on artificial neural net for purity of perovskite-type SrTiO3 nanocrystalline
چکیده انگلیسی

A three-layer structure back-propagation network model based on the non-linear relationship between the purity of the perovskite-type SrTiO3 nano-crystal samples and the technology factors, such as reaction time, reaction temperature, raw material adding amount of NaOH and SrCl2, and the rate of TiCl4Hl, was established. The input variables were pretreated by using the main component analysis firstly. Moreover, the momentum terms were introduced so as to accelerate the converging rate and avoid the non-converging situation. At the same time, the variable learning speed was adopted. The results show that the improved back propagation neural network model is very efficient for the prediction of the perovskite-type SrTiO3 nano-crystal sample purity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transactions of Nonferrous Metals Society of China - Volume 16, Supplement 2, June 2006, Pages s865-s868