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| Routing Algorithm Based on Two-layer Recurrent Neural Network |
| Zhou Jing-quan①; Zhang Shun-yi② |
| ①Department of Electronic Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;②Director Office, Nanjing University of Posts and Telecommunications, Nanjing 210003, China |
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Abstract This paper is concerned with the optimum routing and flow assignment problem in packet-switch networks. The optimum objective function is the network-wide average time delay. To make the solution be implemented reliably in real time, a neural network for shortest path computation that is a two-layer recurrent structure is applied to flow deviation method. Simulation results show that improvements can be achieved in the reliability of successful convergence and in the decrease of computation time.
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Received: 29 November 2004
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2005, Vol. 27 
