摘要
利用人工神经网络建立了具有时间序列对象的预测模型 ,并提出了基于本模型的数据处理方法 ,在此基础上 ,对广东省某县的人均收入作了预测。证实了本模型的正确性和科学性。图 1,表 4 ,参 2。
The paper successfully makes the time series establishes the forecasting model about average incomes of farmers by using artifical neural network model, and provides a data processing method and new Back Propagation Algorithm based on this model.At last was forcasted and the average income of farmers of Xisan unit in Jilin province,the forecasting values are creditable,the largest relative difference between forecasting value and original value is 0.787%.It verifies the model and its data processing method are scientific.
出处
《农业系统科学与综合研究》
CSCD
北大核心
2002年第3期175-177,共3页
System Sciemces and Comprehensive Studies In Agriculture
基金
广东省软科学项目和广东省自然科学基金 (0 11819)资助
关键词
人工神经网络
农机管理
应用
数据处理
artificial neural network
neural unit
average income
convert function
