Meanwhile , the paper discusses the problem of data visualization , and resolves it using neural network technique , describes the whole process of building a neural network data mining system 本论文还简要讨论了在数据库中发现知识的数据可视化问题,并采用神经网络技术解决该问题,描述了建立一个神经网络数据挖掘的全过程。
Utilization the validity of internet to soap , we can use soap construct owce , and utilization xml to express common network data format , can solved the problem of data format difference 通过充分利用soap协议在internet上的有效性,用soap构筑对象web计算环境,并利用xml作为公共网络数据表达格式,便能解决数据格式异构的问题。
The system is intelligent node , connected with lon network through neuron chip and transceiver , and is configured with lonbuilder tool . in the end the testing way of network data in introduced 本系统作为一个智能节点,通过neuron芯片和收发器接到到lon网上,依靠lonbuilder网络安装工具进行节点的配置,文中详细介绍了此配置的过程。
Secondly , the anomaly detection model based on k - means algorithm and som network is constructed . it can classify the normal and abnormal network data stream so better to detect the unknown attack ( 2 )提出了一种k -均值聚类算法和som自组织神经网络算法相结合的异常检测模型,使得系统可以更好的分类正常数据流和异常数据流,以此来防范未知的攻击。
After analyzing the advantages and the disadvantages of dse arithmetic and rsa arithmetic , which are both representatives of the traditional cryptogram systems , put forward a model of network data safety system combined two arithmetic 在分析对称密码体制和公开密钥体制的代表dse和rsa算法的优缺点后,提出将两种算法结合的网络数据安全系统的模型。