电路实验数据分析挖掘技术研究

Electric Circuit Empirical Datum Analysis Excavation Engineering Research

数据挖掘算法是神经网络算法中的有效算法,数据挖掘算法主要包括快速聚类、决策树、关联规则、Kohonen神经网络等算法,其研究的内容是算法模型、参数设置及相应的数据处理方法过程。通过利用数据挖掘算法,对电路实验数据的统计分析挖掘技术进行研究。目前,在电路数据分析方面数据挖掘算法的应用还是一种尝试,希望通过这种算法应用的研究,发现在电路实验数据中的有内部规律和价值的信息,从而为电路实验提供有益的帮助和指导。

The data mining algorithm is effective in the nerve network algorithm. It mainly includes fast gather algorithm, policy- making tree,connection rule,Kohonen nerve network and so on. Its research is the algorithm model, parameter establishment and the processing of corresponding data. We can research the statistical analysis excavation technology of the electric circuit empirical datum through the using of data mining algorithm. At present, the application of mining algorithm in circuit data analysis is an attempt. Through the research of this algorithm, we can discover the inherent law and the value of forma tion in the electric circuit empirical datum, thus provides the beneficiation to help and the instruction for the electric circuit experiment.