| 榆林资源型产业集群可持续发展评估指标预测研究 |
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| 引用本文： | 宋敏.榆林资源型产业集群可持续发展评估指标预测研究[J].统计与信息论坛,2011,26(1):23-27. |
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| 作者姓名： | 宋敏 |
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| 作者单位： | 西安财经学院,资源环境与区域经济研究中心,陕西,西安,710100 |
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| 基金项目： | 西安财经学院科研计划项目，陕西省普通高校哲学社会科学特色学科建设项目 |
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| 摘 要： | 构建出资源型产业集群可持续发展评估指标体系,应用所设计的Matlab7.1计算运行程序对其未来发展趋势进行预测研究,结果表明：榆林资源型产业集群可持续发展趋势良好;基于BP人工神经网络的预测方法在资源型产业集群可持续发展评估指标预测研究中具有较强的仿真能力。
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| 关 键 词： | 榆林市 资源型产业集群 可持续发展 预测 |
Forecasting on the Evaluation Indicators of Resource Industrial Cluster Sustainability Development in Yulin city |
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| SONG Min.Forecasting on the Evaluation Indicators of Resource Industrial Cluster Sustainability Development in Yulin city[J].Statistics & Information Tribune,2011,26(1):23-27. |
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| Authors: | SONG Min |
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| Institution: | SONG Min(Research Center for Resources Environment and Regional Economies,Xi'an University of Finance and Economics,Xi'an 710100,China) |
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| Abstract: | Based on the warning function of BP artificial neural network,the paper builds the sustainable indicators system of resources industry,and writes the Matlab7.1 programs for the sustainable development of early warning research.The results show that the development of resources industrial cluster sustainability in Yulin shows an up-to-up tendency,the early-warning method of artificial neural network can improve resource industrial risk warning accuracy in the research of the sustainable development of resour... |
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| Keywords: | Yulin City resources industrial culster sustainable development forecasting |
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