1) k-cross validation
k-重交叉验证
2) k-Fold Cross Validation
k折交叉验证
3) kfold cross-validation
k-折交叉验证误差界
4) cross-validation
交叉验证
1.
Improvement of BP algorithm based on cross-validation method and its implementation;
基于交叉验证的BP算法的改进与实现
2.
Laser spot image denoising using the wavelet algorithm based on cross-validation;
基于交叉验证的激光光斑小波降噪
3.
Linear Model Selection by Cross-validation;
通过交叉验证准则选择线性模型
5) cross validation
交叉验证
1.
Least square support vector machine based on parameters optimization of clone programming-cross validation and inertial component forecasting;
克隆规划-交叉验证参数优化的LSSVM及惯性器件预测
2.
Based on the cross validation criterion,a new method for suppressing the white noise in power quality signals is proposed.
基于交叉验证方法提出了电能质量信号白噪声抑制新方法,该方法无需事先估计信号中白噪声的任何参数,能根据所定义的积分均方误差(ISE)代价函数自适应地选择最佳消噪阈值,解决了小波去噪过程中小波基函数选择的固有难题,而且去噪效果优于传统方法。
3.
To choose parameters of the model,this paper adopted the method of cross validation based on grid search,avoiding the arbitrary and capricious behav.
采用基于网格搜索的交叉验证法来选择模型参数,避免了参数选择的盲目性和随意性。
6) cross-validation
交叉验证法
1.
Under the condition of the sample not enough,using the cross-validation can effectively reduce the error caused by input sequence and amount of train sample.
在训练样本不够丰富的情况下,采用交叉验证法可以有效地减少BP神经网络因训练样本不同的输入顺序和数量不足造成的误差。
