基于ANN的山东省可持续发展水平的区域差异

Study on Regional Differentiations of Sustainable in Shandong Based on Artificial Neural NetWork

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。

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.