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基于改进的BP网络的CD4细胞图像识别

CD4 Cell Image Recognition Based on BP Neural Network
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摘要 采用改进的BP网络分类器对CD4细胞图像进行识别.首先对图像进行了预处理,分析了图像的特征,然后通过增L减R法选择,介绍了BP网络分类器和LM算法的原理,构建了基于LM算法的BP网络分类器,较好地实现了CD4细胞的识别. An improved BP neural network classifier is used to recognize CD4 cell images in this paper. First, the image is preprocessed and the characteristics of CD4 microscopic images are analyzed. Then, the original features are selected by the plus L and take away R method. The principle of BP neural network classifier and LM Algorithm are introduced and a BP neural network classifier based on LM Algorithm is constructed, from which the CD4 cell can be well recognized.
作者 刘印锋 韩虎 张成联
机构地区 临沂师范学院信息学院 临沂师范学院工程学院
出处 《临沂师范学院学报》 2007年第6期111-115,共5页 Journal of Linyi Teachers' College
关键词 CD4细胞 LM算法 BP网络分类器 特征分析 CD4 cell LM algorithm back propagation neural network classifier feature analysis
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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临沂师范学院学报
2007年 第6期

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