摘要
人工神经网络是模仿人脑神经元结构、特性和大脑认知功能而构成的新型信号、信息处理系统。文中采用的人工神经网络反向传播模型 (BP网络 )对四川省历年用电量历史数据样本进行学习 ,分析年用电量的发展趋势 ,然后进行长期 (年 )预测 。
Neural Network,which simulates frame,the character and the cognizing ability of cerbrum of nerve element of cerebrum,is a new system which can handle many kinds of information and semaphore.In the article,we use BP Network on national gross production (GDP) to study the historical data sample of the power demand in Sichuan province,and analyse trend of the power demand,and forecast the used electricity quantity in the future.Its result is content.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
2000年第2期25-27,共3页
Journal of Sichuan University (Engineering Science Edition)
