کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
795257 | 1466761 | 2008 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Artificial neural network modelling of plating rate and phosphorus content in the coatings of electroless nickel plating
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In this paper, a computer neural network has been developed for the simulation and prediction of plating rate and phosphorus content (P%) in the coatings, as a function of electroless plating bath composition and process parameters. Based on the optimized parameters, the model which is based on three layers artificial neural network (ANN) with back propagation learning algorithm was trained using datasets from orthogonal experiments. The results showed that the predicted value of neural network model coincided well with the experimental value. Therefore, a new way of optimizing process parameters and performance has been provided.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 205, Issues 1–3, 26 August 2008, Pages 207–213
Journal: Journal of Materials Processing Technology - Volume 205, Issues 1–3, 26 August 2008, Pages 207–213
نویسندگان
Wu Yating, Shen Bin, Lui Lei, Hu Wenbin,