A Neural Network-based Routing Algorithm With an Improved Energy Function 


Vol. 30,  No. 2, pp. 21-26, Feb.  2005


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  Abstract

A routing algorithm using the Hopfield Neural Netork (HNN) is proposed in this paper. The proposed algorithm modifies the energy function for achieving the optimality of the solution and higher convergence rate. Experimental results show that the proposed algorithm outperforms convensional methods both in optimality and
convergence.

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  Cite this article

[IEEE Style]

D. Park and K. Keum, "A Neural Network-based Routing Algorithm With an Improved Energy Function," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 21-26, 2005. DOI: .

[ACM Style]

Dong-Chul Park and Kyo-Reen Keum. 2005. A Neural Network-based Routing Algorithm With an Improved Energy Function. The Journal of Korean Institute of Communications and Information Sciences, 30, 2, (2005), 21-26. DOI: .

[KICS Style]

Dong-Chul Park and Kyo-Reen Keum, "A Neural Network-based Routing Algorithm With an Improved Energy Function," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 2, pp. 21-26, 2. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880