| BP神经网络组合预测在城市生活垃圾产量预测中应用 |
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| 引用本文： | 路玉龙,韩靖,余思婧,张鸿雁. BP神经网络组合预测在城市生活垃圾产量预测中应用[J]. 环境科学与技术, 2010, 33(5). DOI: 10.3969/j.issn.1003-6504.2010.05.044 |
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| 作者姓名： | 路玉龙 韩靖 余思婧 张鸿雁 |
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| 作者单位： | 中南大学数学科学与计算技术学院,湖南,长沙,410083 |
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| 基金项目： | 国家大学生创新性实验计划项目 |
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| 摘 要： | 文章分析了组合预测理论,在建立由二次指数平滑预测模型、灰色预测模型、BP神经网络预测模型组成的组合预测模型库的基础上,利用以上三种单一预测模型的组合构成BP神经网络组合预测模型。分别应用单一预测模型和组合预测模型对湖南省城市生活垃圾产生量进行预测,通过分析和比较预测结果,验证了该组合预测方法的有效性。
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| 关 键 词： | 城市生活垃圾产量 组合预测 BP神经网络 Levenberg-Marquardt算法 |
Application of Combinatorial Prediction Based on BP Neural Network in Prediction of MSW Output |
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| LU Yu-long,HAN Jing,YU Si-jing,ZHANG Hong-yan. Application of Combinatorial Prediction Based on BP Neural Network in Prediction of MSW Output[J]. Environmental Science and Technology, 2010, 33(5). DOI: 10.3969/j.issn.1003-6504.2010.05.044 |
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| Authors: | LU Yu-long HAN Jing YU Si-jing ZHANG Hong-yan |
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| Abstract: | By analysis of combinatorial prediction theory, a combinatorial prediction model of BP neural network was established according to the model base consisting of double exponential smoothing model, gray prediction model and BP neural network prediction model. Both separate model and the combinatorial model were used to predict the output of municipal solid waste of Hunan Province, the results of each model were eompared, which showed that the combinatorial prediction method works more effectively than the other methods. |
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| Keywords: | waste output combinatorial prediction BP neural network Levenberg-Marquardt algorithm |
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