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

Park, Dong-Chul (명지대학교 정보공학과 지능컴퓨팅 연구실)
Keum, Kyo-Reen (명지대학교 정보공학과 지능컴퓨팅 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.2B, 2005 , pp. 21-26 More about this Journal
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.
Keywords
Hopfield Neural Network; Energy function; Optimality; Convergence rate;
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