Proposal of a neuro-fuzzy model of a WWW server

K. Zatwarnicki
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引用次数: 3

Abstract

This paper presents the ways of designing simulation models of Web servers. At the beginning queuing network models are introduced, those models are generally known and often used in the initial phase of research on particular technical solutions. Next, an entirely new approach to the issue discussed is presented - neuro-fuzzy models, thanks to which, it is possible to automate the process of designing simulation models. The results of comparative tests of these two models are presented. Based on these results it can be concluded that neuro-fuzzy models are accurate and can be used in simulation research.
一个WWW服务器的神经模糊模型的提出
本文介绍了Web服务器仿真模型的设计方法。首先介绍排队网络模型,这些模型通常是已知的,并且经常用于特定技术解决方案的初始研究阶段。接下来,提出了一种全新的方法来解决所讨论的问题-神经模糊模型,由于它,可以自动化设计仿真模型的过程。给出了两种模型的对比试验结果。结果表明,神经模糊模型是准确的,可以用于仿真研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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