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A neural-network contention controller for packet switching networks

机译:用于分组交换网络的神经网络竞争控制器

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摘要

A novel approach to solving the output contention in packet switching networks with synchronous switching mode is presented. A contention controller has been designed based on the K-winner-take-all neural-network technique with a speedup factor to achieve a real-time computation of a nonblocking switching high-speed high-capacity packet switch without packet loss. Simulation results for evaluation of the performance of the K-winner network controller with 10 neurons are presented to study the constraints of the "frozen state" as well as those of same initial state. An optoelectronic contention controller constructed from a K-winner neural network is proposed.
机译:提出了一种解决具有同步交换模式的分组交换网络中输出争用的新方法。已经基于具有加速因子的K-winner-take-all神经网络技术设计了竞争控制器,以实现无阻塞交换,高速,大容量分组交换的实时计算而不会丢失分组。提出了评估具有10个神经元的K-winner网络控制器性能的仿真结果,以研究“冻结状态”和相同初始状态的约束。提出了一种由K-winner神经网络构成的光电竞争控制器。

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