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The Research of Network Information Filtering Model Based on Genetic Algorithm

机译:基于遗传算法的网络信息滤波模型研究

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摘要

The technology of information filtering is the hotspot in current study. This paper analyses three models of information filtering: Boolean logical model, vector space model, latent semantic indexing model, and points out their defects. In order to purify the information of the Internet, this article introduces the genetic algorithm to the network information filtering system and establishes the network information filtering model based on genetic algorithm. At last it compares the network information filtering model based on genetic algorithm with the three commonly used models. Through the result of the experiments, it is easy to see that the information filtering model based on genetic algorithm is a predominant model.
机译:信息滤波技术是当前研究中的热点。本文分析了三种型号的信息滤波:布尔逻辑模型,矢量空间模型,潜在语义索引模型,并指出了它们的缺陷。为了净化因特网的信息,本文介绍了网络信息滤波系统的遗传算法,并基于遗传算法建立网络信息滤波模型。最后它比较了基于遗传算法的网络信息滤波模型与三种常用模型。通过实验结果,易于看出基于遗传算法的信息滤波模型是主要模型。

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