摘要
借助BP神经网络,采用改进的最速梯度下降法,编程实现了灰度图像的压缩与重现.在MATLAB环境下仿真实验结果表明,所设计的网络图像压缩效果良好,同时具有较好的泛化能力.
By BP neural networks,applies the improved deepest decedent method and realizes the gray image compression and rebuilding through programming.The result of simulation in MATLAB shows that the compression works well and the method has generalization ability.
出处
《河南教育学院学报（自然科学版）》
2010年第2期28-32,共5页
Journal of Henan Institute of Education(Natural Science Edition)
基金
河南省教育厅自然科学研究项目(2009B510007)
关键词
BP神经网络
图像压缩
泛化能力
BP neural network
image compression
generalization ability
