کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1779293 1021988 2012 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using neural networks for the derivation of Runge–Kutta–Nyström pairs for integration of orbits
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم نجوم و فیزیک نجومی
پیش نمایش صفحه اول مقاله
Using neural networks for the derivation of Runge–Kutta–Nyström pairs for integration of orbits
چکیده انگلیسی

In this paper we present Runge–Kutta–Nyström (RKN) pairs of orders 4(3) and 6(4). We choose a test orbit from the Kepler problem to integrate for a specific tolerance. Then we train the free parameters of the above RKN4(3) and RKN6(4) families to perform optimally. For that we form a neural network approach and minimize its objective function using a differential evolution optimization technique. Finally we observe that the produced pairs outperform standard pairs from the literature for Pleiades orbits and Kepler problem over a wide range of eccentricities and tolerances.


► Runge–Kutta–Nystrom pairs are used for integrating 2-body problem and other orbits.
► We train the coefficients on just one eccentricity, accuracy and interval.
► We get better results for the entire family of orbits.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: New Astronomy - Volume 17, Issue 4, May 2012, Pages 469–473
نویسندگان
, ,