摘要
人工神经网络是一门高度综合的交叉学科。本文以BP网络算法的缺陷为出发点,从不同角度对BP算法进行改进,讨论了它在日常生活中的应用情况,并阐述了在实际应用中应注意的几个问题。最后,对BP神经网络的发展趋势进行了展望。
Artificial neural network is a highly integrated cross-subject,In this paper,BP algorithm is improved from different angles as the starting point of the shortcomings of BP network algorithm,and its application in daily life is discussed,furthermore,several problem which should be paid attention to in practice is expatiated.Finally,the development trend of BP neural network is prospected.
出处
《信息与电脑（理论版）》
2009年第10期56-57,共2页
China Computer & Communication
基金
中南林业科技大学研究生科技创新基金项目(2007SX02)
湖南省研究生创新基金项目"基于神经网络的蛋白质糖基化位点的预测和模式分析"
关键词
人工神经网络
BP神经网络
改进算法
发展趋势
artificial neural networks
BP neural network
improved algorithm
development trend
