摘要
应用基于神经网络BP算法的人工神经网络系统理论,对顺德桂洲历年工业产值增长率和年售电量增长率进行统计分析,并利用神经网络模型对下一年的售电量增长率进行了预测.
In this paper,the growth rate of energy in next year has been predicted by applying artificial neural network theory and Back-propagation based on neural network,on the basis of statistics and analysis of the growth rates of gross output value of industry and of energy in Gueizhou over the years.
出处
《广东工业大学学报》
CAS
2005年第2期53-57,共5页
Journal of Guangdong University of Technology
关键词
人工神经网络
售电量
增长率
预测
artificial neural network
energy
growth rate
predict
