Experiment shows that the system model can detect known intrusion modes with very high detection rate, and also can detect some unknown intrusion modes.
实验表明，该系统对已知攻击模式具有很高的检测率，对未知攻击模式也具有一定的检测能力。
The system includes some modules such as originally segmenting, POS tagging, ambiguity processing, model smoothing and Unknown Word Recognizing.
系统包括初切分，词性标注、歧义字段处理、模型平滑、未登录词识别等功能模块。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
应用推荐