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基于T-S模糊神经网络的ATM网络拥塞控制 被引量:5
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作者 陈增强 郑涛 袁著祉 《通信学报》 EI CSCD 北大核心 2002年第8期39-44,共6页
本文充分考虑了模糊神经网络的学习功能,提出了利用T-S模糊神经网络算法对ATM网络进行拥塞控制的方案。仿真结果表明,该方法改善了网络对拥塞的实时处理能力,又增加了网络资源的利用率。
关键词 T-S模糊神经网络 ATM网络 拥塞控制 信元丢失率 异步传输式网络
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MODELING OF THE PRIORITY SCHEDULING INPUT-LINE GROUP OUTPUT WITH MULTI-CHANNEL IN ATM EXCHANGE SYSTEM
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作者 Lu Zhaoyi Lv Lei Lu Mai 《Journal of Electronics(China)》 2006年第3期404-409,共6页
In this paper, an extended Kendall model for the priority scheduling input-line group output with multi-channel in Asynchronous Transfer Mode (ATM) exchange system is proposed and then the mean method is used to mod... In this paper, an extended Kendall model for the priority scheduling input-line group output with multi-channel in Asynchronous Transfer Mode (ATM) exchange system is proposed and then the mean method is used to model mathematically the non-typical non-anticipative PRiority service (PR) model. Compared with the typical and non-anticipative PR model, it expresses the characteristics of the priority scheduling input-line group output with multi-channel in ATM exchange system. The simulation experiment shows that this model can improve the HOL block and the performance of input-queued ATM switch network dramatically. This model has a better developing prospect in ATM exchange system. 展开更多
关键词 Asynchronous Transfer Mode (ATM) network PRIORITY Modeling research
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THE TRANSITION PROBABILITY MATRIX OF A MARKOV CHAIN MODEL IN AN ATM NETWORK 被引量:2
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作者 YUEDequan ZHANGHuachen TUFengsheng 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2003年第4期506-512,共7页
In this paper we consider a Markov chain model in an ATM network, which has been studied by Dag and Stavrakakis. On the basis of the iterative formulas obtained by Dag and Stavrakakis, we obtain the explicit analytica... In this paper we consider a Markov chain model in an ATM network, which has been studied by Dag and Stavrakakis. On the basis of the iterative formulas obtained by Dag and Stavrakakis, we obtain the explicit analytical expression of the transition probability matrix. It is very simple to calculate the transition probabilities of the Markov chain by these expressions. In addition, we obtain some results about the structure of the transition probability matrix, which are helpful in numerical calculation and theoretical analysis. 展开更多
关键词 markov chain transition probability MATRIX ATM network.
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