| 基于ANN的山东省可持续发展水平的区域差异 |
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| 引用本文： | 王艳,李新运,宫磊.基于ANN的山东省可持续发展水平的区域差异[J].资源开发与市场,2004,20(2):114-115,121. |
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| 作者姓名： | 王艳 李新运 宫磊 |
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| 作者单位： | 1. 山东师范大学人口·资源与环境学院,山东,济南,250014
2. 淄博七中,山东,临淄,255400 |
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| 摘 要： | 针对区域可持续发展系统的非线性,采用人工神经网络中较为先进的自组织特征映射网络构建模型.以山东省17个地市2001年的经济、人口、资源、环境、生活和科教状况作为带分样本,用自组织特征映射模型对山东省可持续发展区域差异进行了研究.研究结果表明,山东省可持续发展水平的区域差异可划分为4类,模拟结果比较理想.
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| 关 键 词： | 人工神经网络 自组织特征映射模型 区域可持续发展 山东 |
| 文章编号： | 1005-8141(2004)02-0114-02 |
Study on Regional Differentiations of Sustainable in Shandong Based on Artificial Neural NetWork |
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| WANG Yan,LI Xin-yun,GONG Lei.Study on Regional Differentiations of Sustainable in Shandong Based on Artificial Neural NetWork[J].Resource Development & Market,2004,20(2):114-115,121. |
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| Authors: | WANG Yan LI Xin-yun GONG Lei |
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| Institution: | WANG Yan~1,LI Xin-yun~1,GONG Lei~2 |
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| Abstract: | In this article ,a soundly trained self-organizing feature map(SOFM) developed by Teuvo Kohonen in 1981,was employed to measure the sustainability of socio-economic system .Based on SOFM modle ,this article researched regional differentiations of sustainable in Shandong by using data in 2001.When the neural network was trained appropriately ,it classified the data sets. Research showed that 17 cities of Shandong were classified into 4 groups ,which were in of accord with experts. |
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| Keywords: | artificial neural network SOFM regional sustainable development Shandong |
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