该模型可以发现已知的和未知的滥用入侵和异常入侵活动，具有自学习、自完善功能。

The model with the functions of self-learning and self-completing can detect the known and novel intrusion activities.

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提出了一种基于归纳推理的动态自学习的高效入侵检测模型。

A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.

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系统由数据通讯模块、模型设定模块、模型自学习模块、轧件跟踪模块、数据管理模块等多个模块组成。

This system was composed by multiple modules, including data communication module, schedule setup module, self-learning module, rolling piece tracking module and data management module, etc.

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