| 神经网络在ATM流量控制中的应用 |
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| 引用本文： | 罗嵘.神经网络在ATM流量控制中的应用[J].通信技术,1996(3). |
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| 作者姓名： | 罗嵘 |
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| 作者单位： | 电子部三十所!成都，610041 |
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| 摘 要： | 以ATM流量控制的三层结构模型为基础，介绍神经网络在接入允许控制（CAC）中的五种算法——学习控制方法、hybrid允许方法、移动窗口训练方法，BPHT算法和时间-差分学习方法。讨论基于神经网络的流量测量、流量管理和拥塞控制方法。性能分析结果表明神经网络提供了快速、自适应、简单的智能控制。
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| 关 键 词： | ATM网络 ATM流量控制 神经网络 接入允许控制 拥塞控制 |
Neural Networks Applications in ATM Traffic Control |
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| Luo Rong.Neural Networks Applications in ATM Traffic Control[J].Communications Technology,1996(3). |
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| Authors: | Luo Rong |
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| Abstract: | Based on multilevel traffic control architecture in ATM, the author introduces five applications of neural networks for connection admission control - - learning control nethod. Hybriol admission control, moving window training approach, BPHT algorithm and temporal- - difference learning scheme, and also discusses NN-based solutions for traffic measurments. traffic policing and congestion control. The performance results prove that neural networks provide fast. flexible. adaptive. simple, and intelligent control. |
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| Keywords: | ATM networks ATM traffic control neural networks connection adminssion control congestion control |
| 本文献已被 CNKI 等数据库收录！ |
