The training sample sets and test sample sets for the ANN model were prepared from the real production of the continuous casting production.
采用生产现场数据制做了预测模型的训练样本集和测试样本集。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting wavelet packet basis via given training sample sets.
本文主要研究由给定的训练样本集，如何选择最优小波包基，从被识别或分类的信号中提取具有最大可分性的特征。
Firstly, sample set is roughly classified using ART to reduce the scale of samples, in training set, and then all small training sets is trained using parallel BP.
首先用ART网络对训练集中的样本进行粗分类，以减小训练集的样本规模，然后用多个BP网络并行地对小训练集进行训练。
The method enables to adjust the alterable gain coefficients by the sample data sets training and self-learning.
该方法采用样本训练自学习，自适应调整变增益系数。
The method enables to adjust the alterable gain coefficients by the sample data sets training and self-learning.
该方法采用样本训练自学习，自适应调整变增益系数。
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