training sample set meaning in English
训练样本集
Examples
- When prediction with little training sample set and large variable si ? is concerned , this paper abstracts the prime factors from the training sample set , then only inputs the prime factors into ann instead of primary variables
对于多指标小样本预测问题，文中利用主成分分析法对原有指标体系进行处理，提取主成分构成新的指标作为神经网络的输入。 - Using error back propagation algorithm . the limitation of the bp net is also improved ; 2 > when prediction with little training sample set and large variable size is concemed , this paper abstracts the prime factors from the training sample set using rough set theory , then only inputs the prime factors into ann . this diminishes the size and the input nodes number of ann
对于即网络本身易陷入局部极小点及收敛速度慢的问题，在文中也得到了改进； 2 、对于财政转移支付中标准收入的测算属于多指标小样本的预测问题，文中首次利用粗集理论对初始的指标体系进行约简，提取出关键性的因素作为神经网络的输入。 - Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host . when a training sample set is unlabelled and unbalanced , attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it . when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification , a weighted svm algorithm , i
针对训练样本是未标定的不均衡数据集的情况,把攻击检测问题视为一个孤立点发现或样本密度估计问题,采用了超球面上的one - classsvm算法来处理这类问题;针对有标定的不均衡数据集对于数目较少的那类样本分类错误率较高的情况,引入了加权svm算法-双v - svm算法来进行异常检测;进一步,基于1998darpa入侵检测评估数据源,把两分类svm算法推广至多分类svm算法,并做了多分类svm算法性能比较实验。