International Islamic University Islamabad, PakistanTo: Author

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RE0J34P
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The paper presents a method to solve singular non-linear system representing polytrophic and isothermal sphere using neural network optimized by evolutionary computational approach. A trial solution of the system is written as a feed-forward neural network containing adaptive parameters (weights and biases). We prepare a fitness evaluation function defining unsupervised error. The optimization of the error defines the accuracy in the model that is highly stochastic in nature. Genetic algorithm is exploited as a tool for global convergence and active set algorithm as a rapid local search. The given scheme is tested on the model with polytrophic index 5=λ . A comparative study is made with exact and optimal Homtopy asymptotic method. The stability and reliability of the proposed scheme is investigated by a comprehensive statistical analysis. The proposed results are found to be in good agreement with exact solution as well as numerical solvers.
Junaid Khan, Ijaz Qureshi. 2012. "An Application of Evolutionary Computational Technique to Non-Linear Singular System arising in Polytrophic and Isothermal sphere". Global Journal of Research in Engineering, Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 12 (GJRE Volume 12 Issue I1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 103
Country: Pakistan
Subject: Global Journal of Research in Engineering
Authors: Junaid Ali Khan, Muhammad Asif Zahoor Raja, Ijaz Mansoor Qureshi (PhD/Dr. count: 0)
View Count (all-time): 369
Total Views (Real + Logic): 2192
Total Downloads (simulated): 103
Publish Date: 2012 01, Sun
Monthly Totals (Real + Logic):
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