| 基于神经网络与遗传算法的蔬菜市场价格预测方法研究 |
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| 引用本文： | 罗长寿.基于神经网络与遗传算法的蔬菜市场价格预测方法研究[J].科技通报,2011,27(6):881-885,894. |
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| 作者姓名： | 罗长寿 |
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| 作者单位： | 北京市农林科学院农业科技信息研究所,北京,100097 |
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| 基金项目： | 北京市自然基金项目(9093019) |
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| 摘 要： | 农产品市场价格预测是研究的难点.本文采用蔬菜市场价格数据,分别建立了BP神经网络模型、基于遗传算法的神经网络模型、RBF神经网络模型,并在前三种模型基础上,建立了一种集成预测模型；用北京市批发市场2003-2007年的蔬菜价格训练模型,对2008-2009年的数据进行了预报,前三种模型预报结果的平均绝对误差分别为0.1...
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| 关 键 词： | 遗传算法 神经网络 集成预测 蔬菜价格 |
Research on the Prediction Method of Vegetable Price based on Neural Network and Genetic Algorithm |
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| LUO Changshou.Research on the Prediction Method of Vegetable Price based on Neural Network and Genetic Algorithm[J].Bulletin of Science and Technology,2011,27(6):881-885,894. |
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| Authors: | LUO Changshou |
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| Institution: | LUO Changshou (Institute of Information on Science and Technology of Agriculture,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China) |
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| Abstract: | The study of price prediction on agricultural products is a difficult point.In this paper,on the basis of collecting vegetable market price,three models were set up separately which are BP neural network,the neural network based on genetic algorithm and RBF neural network.And then,an integrated prediction model is constructed based on the three models above.By using the data of vegetables price in Beijing Xinfadi market between 2003 and 2009 to train and forecast,the order of the mean absolute error is 0.15... |
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| Keywords: | genetic algorithm neural network integrated prediction model vegetables price |
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