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.
概述了光纤光栅传感器解调原理,并从响应特性分类角度对光纤光栅的几种解调方法进行了分析比较。
The demodulation principle of FBG is outlined, and several demodulation methods are analyzed and compared from the classification of response characteristics.
用这样一个模糊规则来表示分类的模糊系统,更加有效地构建了一个能对训练样本比较准确分类的模糊分类器。
This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data.
应用推荐