Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model

• Main Authors: Ahmad, Iftikhar, Zahoor Raja, Muhammad Asif, Bilal, Muhammad, Ashraf, Farooq
• Format: Article
• Language: English
• Published: Springer London 2017
• Subjects: T Technology (General)
• 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
• Institution: Universiti Malaysia Pahang

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...