Bio-inspired computing platform for reliable solution of Bratu-type equations arising in the modeling of electrically conducting solids
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- 作者：Muhammad Asif Zahoor Rajaa ; Muhammad.asif@ciit-attock.edu.pk" class="auth_mail" title="E-mail the corresponding author ; rasifzahoor@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; asif.phdee10@iiu.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Raza Samarb ; rsamar@jinnah.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Eman S. Alaidarousc ; ealaidarous@kau.edu.sa" class="auth_mail" title="E-mail the corresponding author ; Elyas Shivaniand ; shivanian@sci.ikiu.ac.ir" class="auth_mail" title="E-mail the corresponding author
- 关键词：One-dimensional Bratu equations ; Neural networks ; Genetic algorithms ; Nonlinear ODEs ; Hybrid techniques ; Active-set method
- 刊名：Applied Mathematical Modelling
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：40
- 期：11-12
- 页码：5964-5977
- 全文大小：1966 K
文摘
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Intelligent computing using ANN, GA and ASMs to solve variants of Bratu's equations.
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The scheme is viable to the mathematical modeling of electrically conducting solids.
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ANNs are exploited for unsupervised modeling with learning of weights with GA-ASM.
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Worth of the scheme is established for both stiff and non-stiff cases of the system.
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The values of statistical performance indices validate the accuracy and convergence.