An efficient algorithm based on artificial neural networks and particle swarm optimization for solution of nonlinear Troesch’s problem-Reference-Cited by-同舟云学术

An efficient algorithm based on artificial neural networks and particle swarm optimization for solution of nonlinear Troesch’s problem

Published:2015-09-01 Issue:1 Volume:28 Page:171-178
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Yadav Neha,Yadav Anupam,Kumar Manoj,Kim Joong Hoon

Funder

BK21 and NRF

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-015-2046-1.pdf

Reference28 articles.

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2. Roberts SM, Shipmann J (1976) On the closed form solution of Troesch’s problem. J Comput Phys 21(3):291–304

3. Scott MR (1975) On the conversion of boundary value problems into stable initial value problems via several invariant imbedding algorithms. In: Aziz AK (ed) Numerical solutions of boundary value problems for ordinary differential equations. Academic Press, New York, pp 89–146

4. Khuri SA (2003) A numerical algorithm for solving the Troesch’s problem. Int J Comput Math 80(4):493–498

5. Feng X, Mei L, He G (2007) An efficient algorithm for solving Troesch’s problem. Appl Math Comput 189(1):500–507

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