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| Channel Assignment Strategy in Mobile Communication Based on Chaos Neural Network |
| Zhu ZhiYu①②;Jiang ChangSheng② |
| ①Dept. of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003 China;②College of Automation Engineering,Nanjing University of Aeronautics and Astronautics, Nanjin 210016, China |
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Abstract Chaos Neural Network（CNN）is applied to solve channel assignment problem in this paper. Energy function expression of channel assignment as well as mathematic model of CNN are put forward. Lyapunov exponent is calculated to judge whether there is chaos in CNN, and the influence on chaos characteristic caused by parameters of CNN model is discussed, then channel assignment algorithm based on CNN is proposed. Simulation results indicate that CNN has stronger ability to search global optimal solution and quicker convergence speed than Hopfield network, for its complicated transient chaos characteristic.
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Received: 19 February 2004
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2005, Vol. 27 
