对于多元测量表诊断出的异常样本，进行异常原因分析和异常方向确定将显得尤为重要。
For abnormal observations diagnosed by the optimized measurement scale, it is important to analyze their potential causes and identify their directions of abnormality.
利用映射图象可以直观地剔除异常样本数据、选择优化决策变量和预测最优操作点和优化方向。
Using this mapping image can visually eliminate abnormal sample data, select decision variables and predict optimal operating point and direction for an industrial process.
通过采集机器人行走异常样本，和构建合适的适应值方程，来训练神经网络，最后取得更好的行走效果，实现了机器人的自适应行走。
By using the abnormal samples of robot walk and creating a suitable fitness equation to train the neural network, we obtain a better walk results finally, and realize the adaptive walk of robot.
来自海豹死亡海域的海水样本确实含有异常高浓度的有毒细菌。
Seawater samples from the area where the seals died did contain unusually high concentrations of the toxic bacterium.
基于这两个变量之间的关系，我们从我们的样本数据中得出的异常值。
Based on the relationship of these two variables, we derive outliers from our sample data.
旋转机械设备工作机理复杂，故障样本缺乏，难以应用传统的方法对其进行有效的异常状态检测。
Traditional method is difficult to be efficiently applied to the abnormal state detection of complex mechanical equipment because of the complex mechanism and insufficient fault samples.
利用样本排序方法对各种化探异常识别模型的处理效果和优劣性进行了比较。
How to compare the differences in aspect of the anomaly recognition effect of these different models? The authors advance the sample ranking method to discuss this problem.
然后根据对多维数据聚类的实验分析结果，通过对样本集的训练进行标识和机器自学习过程来判别异常检测矩阵。
And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machine self-learning.
该方法具有较强的稳健性，适应异常情况下的样本数据，能保持较满意预测精度。
This method has more strong robustness, suits the sample data in singular conditions and can keep a certain forecasting precision.
针对现有的无监督异常检测技术的不足之处，提出了一种基于样本分布异常数据实例度量方法。
Aiming at the weaknesses of current unsupervised anomaly detection techniques, a measurement approach about samples distribution of anomaly data is proposed.
从预报的角度出发，用40%的样本重新定义了有效积温异常。
From the point of EAT forecast, the EAT anomaly was redefined with 40% sample size.
针对污水处理过程运行状态监控中的正常运行状态样本数多而异常运行状态样本数少的特点，提出加权支持向量机方法。
Faced with the fact that training samples belonging to normal operation status are much more than ones belonging to abnormal operation status, the weighted support vector machine is presented.
对指数分布总体，给出了异常值检验费歇型统计量的大样本近似分布。
The approximate distribution of Fisher's statistics for exponential sample is given.
利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。
A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.
在网络异常入侵检测中，应用基于QPSO的WLS - SVM算法效果显著，特别是对于小样本数据量具有良好的预测能力。
In the web anomaly intrusion detection, the application of the WLS-SVM based on QPSO algorithm, the results is significantly, especially to small sample size of data has good predictive ability.
目前我们采用荧光原位杂交(FISH)分析法对胰腺肿块细针穿刺活检(FNA)样本行染色体异常检测还没有深入研究。
Detection of chromosomal abnormalities by fluorescence in situ hybridization (FISH) analysis has not been well-studied in FNA samples of pancreatic masses.
目前我们采用荧光原位杂交(FISH)分析法对胰腺肿块细针穿刺活检(FNA)样本行染色体异常检测还没有深入研究。
Detection of chromosomal abnormalities by fluorescence in situ hybridization (FISH) analysis has not been well-studied in FNA samples of pancreatic masses.
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