1) disorder data recognition
异常数据识别
2) Anomaly recognition criterion
异常识别判据
3) anomalous data identification
异常数据辨识
4) anomaly recognition
异常识别
1.
With these foundations, a set of anomaly recognition methods is proposed, which is supported by statistics, fractal geometry, artificial neural network and computer technique.
以油气化探异常和干扰频率特征分析为基础 ,建立了应用小波分析进行干扰排除的新方法 ,提出异常类型及其形成机制的理论模型 ,并在此基础上建立了以统计学、分形几何学、人工神经网络以及计算机技术为支撑的异常识别新方法。
2.
To extract the thermal infrared(TIR) anomaly information related to the tectonic activities from remote sensing data,a new pre-earthquake TIR anomaly recognition method and quantitative analysis model based on reference field are presented.
为获取与构造活动有关的卫星热红外异常信息,提出了一种基于参考基准场的震前热红外遥感定量分析模型与异常识别方法。
5) anomaly identification
异常识别
1.
The study of metallogenic anomaly identification based on deep soil data with multifractal method——A case study of Cu element in Tongling ore clustering area
基于深层土壤数据的多维分形成矿异常识别研究——以铜陵矿集区Cu元素为例
2.
In this paper,the author shows solving process of two characteristic lines and analyzes its corresponding significance of geology and geophysics and describes results for anomaly identification through a model and a field examples.
这里给出了这二类特征线的求取过程,简要分析了其对应的地质地球物理意义,并通过一个模型和实例计算说明了特征线在异常识别上的效果。
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
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参考词条