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ASME Press Select Proceedings

International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)

By
Mohamed Othman
Mohamed Othman
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Raja Suzana Raja Kasim
Raja Suzana Raja Kasim
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ISBN:
9780791859797
No. of Pages:
760
Publisher:
ASME Press
Publication date:
2011

The application of Hopfield neural network in the optimum routing problem, where the goal is minimize the average delays in the communication have been addressed. In order to improve neural network performance, the use of noisy Hopfield neural network is presented in this paper. The proposed approach considers not only the link capacity of communication network but also the node capacity. The energy function is also optimized and the number of parameters are reduced which makes its complexity less. Simulation results show that this approach has better performance than other algorithms employ Hopfield neural network.

Abstract
Key Words
1 Introduction
2 Optimal Routing Using Neural Network
3 Simulation Results
6. Summaries
References
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