第二二，当前绝大多数入侵检测产品采用的都是专家系统，但网络攻击手段变化多样，导致误报漏报率太高；
Second, the expert system adopted currently by most intrusion detection products have high false alarm rate because the network attack means change variably.
我们又进一步研究了由于网络节点特性变化所引入的误差对检测精度影响，讨论了在一定检测精度要求下，这种光纤补偿网络的优化设计。
We have also discussed the influence of the variation of the characteristic parameter on the measurement error and shown a design of the network.
应用人工神经网络技术，实现了基于质量微小变化的油罐泄漏检测方法。
Tank leakage detection method founded on small mass change is achieved taking advantage of ANN technology.
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