摘要
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试．测试结果表明改进的BP算法缩短了学习时间，提高了学习效率，并在一定程度上避免了学习中的局部极小问题的出现．
This paper discusses the technology of DM based on ANN （artificial neural network）, puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm. The results show that the improved BP algorithm has shortened the study time, improved the study efficiency and avoided the problem of local minimum in study to some degree.
作者
郭长金
GUO Chang-jin （Chongqing University of Science and Technology, Chongqing 400050, China）
出处
《重庆工学院学报》
Journal of Chongqing Institute of Technology
关键词
数据挖掘
人工神经网络
BP算法
预测模型
data mining
artificial neural network
BP algorithm
predicative module
