期刊文献+

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
下载PDF
导出
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.
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
  • 相关文献

参考文献2

二级参考文献19

  • 1王春行.液压伺服系统[M].北京:机械工业出版社,1991..
  • 2Rumelhart D E, Hinton G E, Williams R J. Learninginternal repr esentatio ns by error propagation[A].Rumelhart D E James L.McClelland J L. Parallel di stributed processing: explorations in the microstructure of cognition[C], vol ume 1, Cambridge, MA:MIT Press, 1986.318~362.
  • 3Neural Network Toolbox User's Guide .The Mathworks,inc. 1999.
  • 4Fahlman S E. Faster-learning variations on back-propagation: an e mpirical study[A].Touretzky D,Hinton G,Sejnowski T. Proceedings of the 1988 C onnectionist Models Summer School[C].Carnegic Mellon University,1988,38~51.
  • 5Jacobs R A. Increased rates of convergence through learning rate adaptation[J]. Neural Networks,1988,1:295~307.
  • 6Shar S, Palmieri F. MEKA-a fast, local algorithm for training feedforwa rd neural networks[A]. Proceedings of the International Joint Conference on Ne ural Networks[C]. IEEE Press, New York, 1990.41~46.
  • 7Watrous R L. Learning algorithms for connectionist network: appli ed gradie nt methods of nonlinear optimization[A]. Proceedings of IEEE International Con ference on Neural Networks[c]. IEEE Press, New York, 1987.619~627.
  • 8Shar S,Palmieri F,Datum M.Optimal filtering algorithms f or fast l earning in feedforward neural networks[J]. Neural Networks,1992, 5(5):779~7 87.
  • 9Martin R,Heinrich B. A Direct Adaptive Method for F aster Backpropagation Learning: The RPROP Algorithrm[A]. Ruspini H. Proceedi ngs of the IEEE Interna t ional Conference on Neural Networks (ICNN)[C]. IEEE Press, New York. 1993.58 6~591.
  • 10Fletcher R,Reeves C M. Function minimization by conjugate gra dients[J]. Computer Journal ,1964,7:149~154.

共引文献283

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部