Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
In the present study, stochastic numerical computing approach is developed by applying artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary value problems arising in thermodynamic studies of the spherical gas cloud model. ANNs are used in an unsupervised manner to co...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer London
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24135/1/Neural%20network%20methods%20to%20solve%20the%20Lane%E2%80%93Emden%20type%20equations%20arising%20in%20thermodynamic%20studies%20of%20the%20spherical%20gas%20cloud%20model.pdf http://umpir.ump.edu.my/id/eprint/24135/ https://doi.org/10.1007/s00521-016-2400-y https://doi.org/10.1007/s00521-016-2400-y |
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Internet
http://umpir.ump.edu.my/id/eprint/24135/1/Neural%20network%20methods%20to%20solve%20the%20Lane%E2%80%93Emden%20type%20equations%20arising%20in%20thermodynamic%20studies%20of%20the%20spherical%20gas%20cloud%20model.pdfhttp://umpir.ump.edu.my/id/eprint/24135/
https://doi.org/10.1007/s00521-016-2400-y
https://doi.org/10.1007/s00521-016-2400-y