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。
Expermental results show that the system model can not only protect the network and host from existing attacks, can detect unknown attacks, achieved the expected results.
实验结果表明，该系统模型不仅可以保护网络和主机不受已有攻击的威胁，还可以检测出未知的攻击，达到了预期效果。
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。
The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
仿真实例进一步表明，采用神经网络建立未知非线性动态系统的在线模型具有可行性。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
Here, we suppose that the model structure is unknown. A unified description method of model set of multi-model system, including the identification method of model structure and parameter, is given.
这里不假定模型结构已知，给出了多模型系统模型族的统一描述方法，包括模型结构与参数的辨识方法。
The experiments and the actual operating results showed that the MCDBES system has better control performance for unknown any mathematical model of a fuel-burning ceramic kiln.
经试验和实际运行结果表明，MCDBES系统对未知数学模型的被控对象，具有良好的控制性能。本文提出的MCDBES已成功地应用于燃油陶瓷窑炉计算机控制系统。
That is decided mainly by the typical unknown and uncertain nonlinear system of electro-hydraulic servo system, which gains precise maths model of system difficultly.
这主要是由电液伺服系统的典型未知不确定性和非线性特性所决定的，使得系统精确的数学模型难以获得。
Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times.
其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。
Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times.
其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。
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