warning network

Using the data of historical occurrence level of brown planthopper ( BPH) in Tongzhou City, Jiangsu Province and meteorological factor, the long-term predictive warning system of neural network was established according to the principle of neural network.

利用神经网络的基本原理，结合气象因子以及江苏通州市田间褐飞虱发生程度的实测数据，建立了该地的神经网络长期预警系统。

The production of this paper has been applied into" the Network Security Monitor and the Warning Technology", which will do a great deal of good for the design of alert correlation system in distributed IDS.

本文的研究成果已经在网络安全监控与预警系统（十五863项目）中得到应用，对分布式入侵检测系统的报警关联设计有重要的参考价值。

The threat-assessment pattern analyzed the threat level to network security through multi-sensor fusion technology with the result of early warning analysis.

威胁评估模块将预警分析的结果（攻击预测）作为输入，利用多属性融合技术定量分析网络安全威胁程度。

Therefore, this thesis proposes that chinese government statistic comprehensively the security indicators data on the marine tourism, to play Artificial Neural Network' advantages in early warning.

因此，建议今后国家对海洋旅游安全指标数据进行全面的统计，使BP网络在预警中的优势得到更好的发挥。

On the serial port debugging aids of PC machine, we demonstrated the network operational aspect real-time, and examined the movement result of the warning system. The test result has met the anticipated requirements.

在PC机上借助串口调试工具对网络的运行情况进行了实时地监测，检测了预警系统运行结果，测试结果达到了预期的要求。

Tariff audit security risk early warning model by KMO test to verify the electricity checking safety risk for principal component analysis, and principal component analysis method to select the total contribution rate of85% of the index, and the index established a RBF neural network prediction model.

电费审核安全风险预警模型首先通过KMO检验验证了电费审核安全风险适宜作主成分分析，并通过主成分分析方法选择了总贡献率达85%的指标，并以这些指标建立了RBF神经网络预警模型。

Study on the Application of BP Neural Network in Tourism Security Early Warning Information System

BP神经网络在旅游安全预警信息系统中的应用研究

Then this paper points out the defect of traditional financial warning methods and designs a united data mining system consisting of Logistic regression, associative rules, decision tree and neural network.

针对这些局限性，设计了由Logistic回归分析方法、关联规则、决策树和神经网络组成的联合数据挖掘系统。

Therefore it can be concluded: Chinese manufacturing listed companies to establish financial early warning model based on BP neural network technology to predict the possible arrival of the crisis onthe future, more accurate and effective.

因此可以得出结论：在中国制造业上市公司中，利用BP神经元网络技术建立财务预警模型对未来可能到来的危机进行预测，更为准确和有效。

In this paper , an early warning system against stealth cruise missile based on network is presented.

而防御巡航导弹的首要条件是及早发现并探测出巡航导弹,然后进行分层处理.