沈阳农业大学学报2011，Vol.42Issue(3)：382-384,3.
BP神经网络学习算法的改进及应用
Improved Learning Algorithms for BP Neural Network and Application
摘要
Abstract
In order to research the application of the BP neural network improved learning algorithm, four practical applications were trained by improved BP neural network learning algorithm, and through comprising these learning algorithms to obtain the adaptation scope of them. Thus, the actual type of research question, network size and precision to choose appropriate learning algorithm were accorded. The experimental results showed that LM algorithm was good to be the function approximation, but not for large-scale networks; The convergence speed of RPROP algorithm was fast when it was applied pattern recognition, but not so good for function approximation. SCG algorithm for larger-scale network performance was very good, and the effect of function approximation was good.关键词
BP神经网络/学习算法/改进算法/应用Key words
BP neural network/ learning algorithm/ improved algorithm/ application分类
信息技术与安全科学引用本文复制引用
余妹兰,匡芳君..BP神经网络学习算法的改进及应用[J].沈阳农业大学学报,2011,42(3):382-384,3.基金项目
湖南省高等学校科技研究项目(10C0069) （10C0069）
