BNNG算法在车型识别中的应用研究

The Application Research of BNNG Algorithm in Vehicle Recognition

本文根据生态系统模型和多种神经网络模型融合的相似性,提出了仿生态神经网络群(BNNG)算法,并将其和AR模型特征提取结合应用到车型识别中,与单个神经网络识别相比提高了车型分类的正确率,降低了近似生态系统车型的误识率,为公路上交通量自动分类统计提供了方法。

According to the similarity of ecosystem model and multiple neural network model, the paper proposed the model of bionic neural network group （BNNG） algorithm, which combines the feature extraction and AR. model to improve the accuracy of the vehicle classification, and reduces the error rate.