feature-exaction 特征提取
In order to get higher correct rate,three neural networks classifiers with three different feature exaction methods are used separately,then the results are fused by D-S evidence theory to get final decision.
使用了3种不同类型的特征提取方法,分别生成基于神经网络的分类器,并将各自的分类结果通过D-S证据理论进行融合以完成最终的决策,提高了系统的识别率。
参考来源 - 基于信息融合技术的集装箱号码自动识别系统 in C·2,447,543篇论文数据,部分数据来源于NoteExpress
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