| 灰色理论和神经网络对粮食产量的预测 |
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| 引用本文： | 徐小华,;候波,;胡晓飞.灰色理论和神经网络对粮食产量的预测[J].鸡西大学学报,2014(10):44-45. |
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| 作者姓名： | 徐小华 ;候波 ;胡晓飞 |
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| 作者单位： | [1]昭通学院网络信息中心,云南昭通657000; [2]昭通学院信息与科学与技术学院,云南昭通657000; [3]昭通学院数学与统计学院,云南昭通657000 |
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| 摘 要： | 选取农作物总面积,成灾面积,有效灌溉面积,农用化肥施用量和乡村人口来构建1-1-6-1灰色神经网络,用训练好的网络预测了2009年至2011年粮食产量,实验结果表明灰色神经网络预测的效果比BP神经网络效果好,精度高。
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| 关 键 词： | 灰色理论 神经网络 粮食产量 |
A Forecast of Grain Yield Under the Grey Theory and Neural Network Theory |
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| Institution: | Xu Xiaohua, Hou Bo, Hu Xiaofei ( 1. Network＆Information Center; Zhaotong University, Zhaotong, Yunnan 657000, China; 2. School of Information Science and Technology, Zhaotong University, Zhaotong,Yunnan 657000, China; 3. School of Mathematics and Statistical, Zhaotong University, Zhaotong, Yunnan 657000, China) |
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| Abstract: | This paper introduces the Theory of Grey and the Nural Ntwork Theory,and constructed 1- 1- 6- 1 grey neural network with total crop area,disaster area,effective irrigation area,chemical fertilizer consumption and rural population. A trained network is used to forecast the grain yield from 2009 to 2011. Result of experiment shows that grey neural network has better forecasting effect than BP neural network with higher precision. |
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| Keywords: | Grey Theory neural network grain yield |
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