与两种基于免疫原理的文本分类方法和传统的贝叶斯分类器进行了比较研究。
It is compared with two kinds of classifier, which is based on the principle of immunity, and traditional Bayesian classification.
传统的乐器识别方法采用的是树型分类方法，这种方法分类过程比较繁琐，而且精度不高。
The traditional instrument recognition method adopts binary-tree classifying method. The process of this method is trivial and inaccurate.
经实验证明，用该方法构造的决策树与传统的基于信息熵方法构造的决策树相比较，复杂性低，且能有效提高分类效果。
The experiments show that, compared with the entropy-based method, our method is simpler in the structure, and can improve the efficiency of classification.
由比较结果看来，非比对方法中的FDOD度量得到的结果与传统的分类学结果最为一致；
The result of the new method FDOD is more consistent with the one in traditional taxonomy than those of other methods.
在UCI标准数据集合上进行测试，与airs和其他传统分类器进行比较，目的是研究基于人工免疫网络原理的数据分类方法的性能。
It is tested on the UCI standard data sets and compared with AIRS and the other classical classifiers. The aim is to research the performance of classifier based on artificial immune network.
实验结果表明，所提出的新型分类器具有良好的记忆和泛化性能，准确率可以与许多传统方法相比较。
The results of test show that the presented classifier has good performance on memory and generalization. The accuracy can be compared with many traditional methods.
实验结果表明，所提出的新型分类器具有良好的记忆和泛化性能，准确率可以与许多传统方法相比较。
The results of test show that the presented classifier has good performance on memory and generalization. The accuracy can be compared with many traditional methods.
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