基于BP神经网络的我国粮食产量预测

Application of BPNN for Forecast of Chinese Grain Outpu

粮食是一个国家的立国之本,对于中国而言,粮食问题占据举足轻重的地位,甚至关系到整个社会的稳定。文中基于BP神经网络,在过去二十三年的粮食产量数据的基础上对中国2012～2016年的粮食产量进行了预测,基于预测结果可知未来五年中国粮食是可以满足人口的需求的,从而确定未来五年政府的粮食储备工作可以有所缓解。

Grain is the foundation of a country, for China, grain problem occupy an important status, and even related to the stability of the whole society. Based on the food production of past 23 years, this thesis forecast the grain output of china form 2012 to 2016 by BP neural network, then analyze weather can China＇s grain meet the needs of the population or not based on predicting outcomes. Consequently,this thesis underlies grain reserves work of the government in next 5 years.