| 基于模糊神经网络的宏观经济预测模型综述 |
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| 引用本文： | 刘双.基于模糊神经网络的宏观经济预测模型综述[J].天津市工会管理干部学院学报,2004,12(2):30-33. |
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| 作者姓名： | 刘双 |
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| 作者单位： | 天津大学软件学院,天津,300072 |
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| 摘 要： | 将神经网络理论及模糊理论相结合,建立了基于模糊神经网络的时间序列数据和断面数据相结合的宏观经济预测模型,并用实际数据对基于模糊神经网络的宏观经济预测模型进行了仿真和检验,建立了季度GDP绝对值模型,结果表明该模型优于使用单一人工神经网络的模型,也证明了该模型的有效性和可行性。
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| 关 键 词： | 宏观经济预测 模糊神经网络 GDP绝对值模型 |
| 文章编号： | 1008-8636(2004)02-0030-04 |
| 修稿时间： | 2004年4月25日 |
Introduction to Macroeconomic Forecasting Model Based on Fuzzy Neutral Networks |
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| Liu Shuang.Introduction to Macroeconomic Forecasting Model Based on Fuzzy Neutral Networks[J].Journal of Tianjin Trade Union Administrators‘ College,2004,12(2):30-33. |
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| Authors: | Liu Shuang |
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| Institution: | Institute of Software Engineering Tianjin University Tianjin 300072 |
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| Abstract: | This article combines neutral networks theory with fuzzy theory, and builds the macroeconomic forecasting model with time series data and affecting factors based on fuzzy neural networks, and evaluates and verifies the macroeconomic forecasting model based on fuzzy neutral networks using actual data, and it has set up the model of the quarterly GDP absolute value, the results indicate that this model is better than the single ANN model, and prove the validity and feasibility of the model. |
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| Keywords: | Macroeconomic Forecasting Fuzzy Neural Networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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