| LM-BP神经网络在农业总产值预测的应用 |
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| 引用本文： | 张自敏,樊艳英,陈冠萍.LM-BP神经网络在农业总产值预测的应用[J].安徽农业科学,2014(28):10009-10011,10037. |
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| 作者姓名： | 张自敏 樊艳英 陈冠萍 |
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| 作者单位： | 1. 贺州学院教育技术中心,广西贺州,542899
2. 贺州学院计算机科学与信息工程学院,广西贺州,542899 |
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| 基金项目： | 广西高校科学技术研究项目 |
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| 摘 要： | 农业生产总值是衡量一个地区农业发展水平的重要指标,农业生产总值受多方因素的影响,具有非线性的特征,为此,提出了LM-BP神经网络预测农业生产总值的模型及方法.以农作物播种面积、粮食产量、甘蔗产量、木薯产量、茶叶产量、肉类产量、水产品产量、松脂产量及油茶籽产量等与农业生产总值相关指标作为网络输入,通过广西2000 ～2012年农业生产总值数据仿真试验分析表明,LM-BP神经网络预测结果与实际值有较好的拟合度.
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| 关 键 词： | 农业生产总值 人工神经网络 LM-BP神经网络 预测 |
Application of LM-BP Neural Network in Predicting Gross Agricultural Product |
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| ZHANG Zi-min,FAN Yan-ying,CHEN Guan-ping.Application of LM-BP Neural Network in Predicting Gross Agricultural Product[J].Journal of Anhui Agricultural Sciences,2014(28):10009-10011,10037. |
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| Authors: | ZHANG Zi-min FAN Yan-ying CHEN Guan-ping |
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| Institution: | ZHANG Zi-min, FAN Yan-ying, CHEN Guan-ping (1. Center of Education Technology, Hezhou University, Hezhou, Guangxi 542899; 2. School of Computer Science and Information Engineering, Hezhou University, Hezhou, Guangxi 542899) |
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| Abstract: | Gross agricultural product is an important indication to measure the agricultural development level of a region.It would be affected by many factors,owning the character of non-linearity.For this reason,LM-BP neural network was put forward as the model and method for predicting gross agricultural product.Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and oil-tea camellia seed,etc.as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment shows that the prediction of LM-BP neural network fits well with actual results. |
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| Keywords: | Gross agricultural product Artificial neural networks Levenberg Marquardt Back Propagation(LM-BP) neural network Prediction |
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