该类学习机也是在少训练样本集上构造的。
The reduced training set is used to form the learning machines.
把试验获取的数据整理分为训练样本集和测试样本集。
The experimental data obtained were divided into training set and testing data.
在非线性多功能传感器的信号重构过程中，训练样本集不可避免地夹杂粗差数据。
Training sample set inevitably contains gross error in input signal reconstruction of nonlinear multifunctional sensor.
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