Construction and Application of Improved Grey Neural Network Model based on Genetic Algorithm

摘要：

In order to get an improved GM (1, 1), Genetic Algorithm was used to optimize the initial value and the background value of traditional GM (1,1). Combining the new GM with BP neural network, a tandem Grey Neural Network model was built The model was used to predict the population of Ji Lin province. The results show that the prediction model has stronger adaptability, better promotion ability and higher precision.

关键词： Improved GM (1,1) Genetic Algorithm BP Neural Network

作者: Na Tang Zhang De-Jiang

作者单位: Institute of Electrical and Electronic Engineering Chang chun University of Technology Chang chun, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 406-408

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）