1) training error
训练误差
1.
This paper taking one-hidden layer combined BP network model used in the fault diagnosis of power transformer as a exapmle and on the based of training flow process chart, points out that the number of hidden nodes, initial weight values, training error, the max training times and the order of training samples have different influence on the BP network generalization.
以单隐层的BP组合神经网络在基于DGA的电力变压器故障诊断中的应用为例,在BP网络训练流程图的基础上,分别举例阐述了隐层节点个数、初始权值、训练误差、最大训练次数以及训练样本次序对网络训练效果和泛化能力的影响。
2.
This theory shows that genetic algorithm,which uses minimum marginal as fitness function and where error is less than 50%,can have convergence influence on training error regarding two kinds of problems and have boundary on the general-ization error of testing integration.
该理论证明:在单个ANN具有一定的要求较低的性能条件下,即误差小于50%时,该ANN集成对两分类问题的训练误差具有收敛性,对测试集的泛化误差有界。
3.
This problem only causes a waste of neurons,but also results in the training error too great to meet the request of training precision and hardly completes the task of classification or clustering.
竞争型神经网络存在"死点"问题,某些神经元在竞争中可能始终未能获胜而成为"死神经元",不仅造成神经元的浪费,而且造成训练误差偏大,无法达到训练误差的精度要求,不能很好完成它所担负的聚类或分类任务。
2) analysis of mean square error function
训练误差分解
3) error correction training procedure
误差校正训练步骤
4) Minimum classification error training
最小分类误差训练
1.
Minimum classification error training method is used to incorporate the design of a linear transform matrixbased feature extractor and a classifier,which yields classification-oriented wavelet features and minimizes the error rate associate with the classifier.
在最小分类误差训练框架下,通过联合设计一个基于线性变换矩阵的特征提取器和一个分类器,来获取面向缺陷分类的小波框架特征,并最小化分类器的错误概率。
6) practice error
练习误差
补充资料：【系统误差】(systematicerror)
【系统误差】(systematicerror)
亦称“恒定误差”。在同一条件下多次测量同一量时，误差的数值和符号保持不变，或在条件改变时，按某一确定的规律变化的误差。产生的主要原因：（1）分析方法不完善。如在重量分析中，由于沉淀的溶解和共沉淀现象等；在职滴定分析中，由于反应进行不完全和*等当点与滴定终点不符合等，均将系统地影响测定结果偏高或偏低。（2）仪器本身不够精确。如砝码重量、容量器皿刻度等。（3）试剂不纯。（4）操作者主观上带来的误差。如对滴定终点颜色的辨别不同等。为保证分析结果的准确度，对这类误差必须尽量减小以致消除。常采用标准试样和标准方法来进行校正，或由不同单位、不同人员测得的结果，进行对照和评价，从而得出校正系数以消除之。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条