摘要
提高我国粮食产量的预测精度与效率是人们关注的一个重要问题。BP模型是目前最为广泛应用的神经网络模型之一,它是一种简单又非常有效的算法。将BP神经网络模型应用到粮食产量预测中,并建立了粮食产量的神经网络预测模型,结果表明BP神经网络应用于粮食产量预测是可行的。
It is an important problem to improve the predietion precision and efficiency of the prediction for grain yield in China. BP model is one of the most widely applied neural networks at present and also is a simple and effective algorithm. BP model was applied in prediction of grain yield and a forecasl model tot grain yield hased on neural network was established. The results indicated that applying BP model in predication of grain yield is practicable.
出处
《湖南农业科学》
2011年第9期136-138,共3页
Hunan Agricultural Sciences
基金
国家自然科学基金项目(0211003026/11220300)
国家重点基础研究发展规划"973"项目(041J007026/21010703)
关键词
神经网络
粮食产量
预测
neural network
grain yield
forecast
