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基于BP神经网络分类器的多目标识别方法研究
引用本文:沈凤龙,毕娟.基于BP神经网络分类器的多目标识别方法研究[J].辽东学院学报(自然科学版),2008,15(4).
作者姓名:沈凤龙  毕娟
作者单位:辽东学院,机电学院,辽宁,丹东118003
摘    要:文章对多目标进行特征提取,数据作为神经网络分类器的输入,采用不同的算法对多输出型BP神经网络分类器和单输出型BP神经网络联合分类器进行训练,实现多目标的识别。仿真试验结果表明,基于BP神经网络分类器的识别方法具有较高的识别率。

关 键 词:BP神经网络  特征提取  多目标识别

Multi-target Recognition Based on BP Neural Network Classifier
SHEN Feng-long,BI Juan.Multi-target Recognition Based on BP Neural Network Classifier[J].Journal of Liaodong University:Natural Sciences,2008,15(4).
Authors:SHEN Feng-long  BI Juan
Abstract:The features of multiple targets were extracted whose data were used as the input of neural network classifier.Both the classifier of a multi-output BP neural network and the combined classier of a single-output BP neural network was trained with different algorithms.The results show that a high recognition rate can be obtained with this method.
Keywords:BP neural network  feature extraction  multi-target recognition
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