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Solving Nonlinear Lane-Emden Type Equations With Unsupervised
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نویسنده
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Parand K. ,Roozbahani Z. ,Bayat Babolghani F.
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منبع
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International Journal Of Industrial Mathematics - 2013 - دوره : 5 - شماره : 4 - صفحه:355 -366
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چکیده
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In this paper we propose a method for solving some well-known classes of lane-emden type equationswhich are nonlinear ordinary dierential equations on the semi-innite domain. the proposed approachis based on an unsupervised combined articial neural networks (ucann) method. firstly,the trial solutions of the dierential equations are written in the form of feed-forward neural networkscontaining adjustable parameters (the weights and biases); results are then optimized withthe combined neural network. the proposed method is tested on series of lane-emden dierentialequations and the results are reported. afterward, these results are compared with the solution ofother methods demonstrating the eciency and applicability of the proposed method.
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کلیدواژه
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Lane-Emden Type Equations ,Nonlinear Ode ,Semi-InNite Domain ,Astrophysics ,ArtiCial Neural Network ,Combined Neural Network
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آدرس
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Shahid Beheshti University, ایران, Shahid Beheshti University, ایران, Shahid Beheshti University, ایران
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Authors
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