کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11012190 1800897 2019 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The artificial neural network prediction algorithm research of rail-gun current and armature speed based on B-dot probes array
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
The artificial neural network prediction algorithm research of rail-gun current and armature speed based on B-dot probes array
چکیده انگلیسی
In this paper, based on the advantages of artificial neural network, such as good tolerance of data noise, strong ability of nonlinear mapping, multi-dimensional input variables, fast operation, low error, etc., a method of using artificial neural network for data prediction is proposed for the research of rail-gun. The results show that it is feasible to use the Back Propagation Neural Network, the Radial Basis Function Neural Network and the General Regression Neural Network to realize the method of prediction and simulation of the rail-gun current and the armature speed curve through relevant parameters. The General Regression Neural Network has superiority in error performance and time cost of neural network training and simulation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 133, February 2019, Pages 47-55
نویسندگان
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