| 1. | Summarizing we may state that today's trend in phytosociology is to classify epiphytic societies into synusiae .
总起来说，在植物社会学中现时的趋势是将附生组合分类为层片。 |
| 2. | Rough - set - based construct of combined classifier
一种基于粗糙集理论的组合分类器构造方法 |
| 3. | Bp - lvq neural networks classifiers combination model based on matlab
神经网络组合分类模型 |
| 4. | On - line chinese character recognition based on 2 - classifier combination
基于组合分类器的联机手写汉字识别 |
| 5. | The combination classifier judges the unknown patterns based on the fuzzy integration of the above two classes of information
组合分类器对这两类信息进行模糊集成，对未知模式进行判断。 |
| 6. | There are two steps in the combined classifier . the least distance pattern recognition method is used to classify roughly in the first step
组合分类器的结构如下：第一级分类器采用最小距离法进行粗分类。 |
| 7. | To realize the best performance for almost all the samples we need to adopt different combination structure for distinct samples - dynamical multi - classifier combination
为实现组合分类器的最佳性能，就需要根据不同的测试样本采用不同的分类器组合结构，实现动态组合。 |
| 8. | 24 jain a k , duin r p w , mao j . statistical pattern recognition : areview . ieee transactions on pattern analysis and machineintelligence , january 2000 , 22 : 4 - 38
测试结果显示，经组合分类器识别和后处理分析后，系统识别率达96 % ，比各单一分类器识别结果平均高出4个百分点。 |
| 9. | A combined classifier is designed . there are two recognition ways used in the classifier . they are the least distance pattern recognition method and the bp neural network pattern recognition method
设计了一个二级组合分类器，该分类器综合使用了最小距离和bp神经网络两种模式识别方法。 |
| 10. | In the training stage , two integrated classifiers are trained separately when the training set contained simple forgery samples or not , and a mapping function is built based on parameters of two classifiers
在系统训练阶段，利用第一数据集，建立起当训练集中包含简单伪造前后的组合分类器参数的映射关系。 |
