In addition, newly trained patterns can easily be supplemented to the already trained classifier, thus facilitating the improvement of the accuracy of diagnosis results.
此外，很容易把新的训练样本添加到以前训练好的分类器中，便于提高故障诊断结果的准确性。
This function link network is further trained using the parameter values of selected rotor systems, and the classifier network is formed.
利用所选定的旋转系统的参数值进一步训练该函数链的神经网络，从而构成分类网络。
Among, the classifier is designed by the nearest neighbor algorithm and trained based on the pulmonary nodules in LIDC as the sample data.
采用最近邻法设计分类器，并以LIDC库中的结节数据作为样本集，使用留一法进行分类器训练。
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