一种基于层级分类策略的复杂模式识别方法

针对大量复杂而亟待分类的模式类型，提出了一种基于层级分类策略的复杂模式识别方法。该方法通过选择合适的分层标志，从多侧面反应被分类对象的属性，降低了分类的复杂度，提高了分类效率。建立了层级分类策略模型以及关键性步骤，并将其应用于利用表面肌电信号识别手部动作的实验验证，通过对比是否采用此策略，进而说明了基于层级分类策略在面对复杂模式识别的有效性，为该方法的推广使用奠定基础。

A Method of Complicated Pattern Recognition Based on Hierarchical Classification Strategy

For the large number of complex and urgent need for recognizing pattern types, a method of complicated pattern recognition based on hierarchical classification strategy has be proposed. The method must be determine the hierarchical sign. Reacting the attribute of the object from the multi sides. From this, the complexity of the classification is reduced, and the classification efficiency is improved. The hierarchical classification strategy model and the key steps are established. Then, the experiment about recognizing hand movements by use of surface electromyography signal, we can compare the recognition effect whether to use of this strategy. Thus, it can be verify the effectiveness of this strategy, and also become a template to promote this method.