Online First:01 June 2005,
Published:2005
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陈钊垣. 基于BP网的区域年售电量增长率预测[J]. 广东工业大学学报, 2005, 22(2): 53-57.
CHEN Zhao-yuan. Prediction of the Growth Rate of Energy Based on BP Neural Network[J]. 2005, 22(2): 53-57.
陈钊垣. 基于BP网的区域年售电量增长率预测[J]. 广东工业大学学报, 2005, 22(2): 53-57. DOI:
CHEN Zhao-yuan. Prediction of the Growth Rate of Energy Based on BP Neural Network[J]. 2005, 22(2): 53-57. DOI:
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.
徐丽娜编著.神经网络控制[M]. 哈尔滨工业大学出版社, 1999
张乃尧,阎平凡编著.神经网络与模糊控制[M]. 清华大学出版社, 1998
焦李成著.神经网络系统理论[M]. 西安电子科技大学出版社, 1990
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