中文说明：本代码是基于形状和颜色， 其次提出了一种基于多分类器集成的分类方法，在该方法中采用NND、BP神经网络、基于类中心的欧式距离法三种分类器作为集成分类器的基分类器，投票表决法作为集成规则。从实验结果可以看出，该方法可以集成各个分类器的优点，抑制它们各自的缺点，与已有的单分类器相比该方法有更好的分类效果。
English Description：
The code is based on their shape and color, & nbsp; secondly, it points out the a multi classifier ensemble classification method based on. In the method the NND, BP neural network, based on the central class of Euclidean distance classifier is used as the base classifier ensemble classifiers vote voting as integration rules. It can be seen from the experimental results that the method can integrate the advantages of each classifier, and restrain their disadvantages, compared with the existing single classifier, this method has a better classification effect.