| 中国钢铁工业区域竞争力的人工神经网络判定 |
| |
| 引用本文： | 付加锋,刘毅,张雷. 中国钢铁工业区域竞争力的人工神经网络判定[J]. 辽宁工程技术大学学报(自然科学版), 2007, 26(3): 450-453 |
| |
| 作者姓名： | 付加锋 刘毅 张雷 |
| |
| 作者单位： | 中国科学院,地理科学与资源研究所,北京,100101;中国科学院,研究生院,北京,100049;中国科学院,人事教育局,北京,100864;中国科学院,地理科学与资源研究所,北京,100101 |
| |
| 基金项目： | 国家自然科学基金资助项目(40535026) |
| |
| 摘 要： | 将人工神经网络和最优分割法相结合,构建竞争力评价模型,并对1995年和2000年中国钢铁工业区域竞争力进行了评价。模型运行结果表明,1995~2000年中国钢铁工业区域竞争力发生了显著分化,2000年以来钢铁工业发展态势也充分证明了这一点。沿海地区正成为中国钢铁工业发展的重点地区,优化钢铁工业布局是当前面临的一个重要任务。可见,将人工神经网络和最优分割法相结合的组合模型用于评价钢铁工业区域竞争力水平简便、实用,且避免了人工确定指标权重的主观性,是一种具有发展和应用前景的有效评价方法。
|
| 关 键 词： | 人工神经网络 最优分割法 区域竞争力 钢铁工业 |
| 文章编号： | 1008-0562（2007）03-0450-04 |
| 修稿时间： | 2006-06-04 |
Analysis of regional competitiveness of Chinese iron and steel industry by using artificial neural networks |
| |
| FU Jia-feng,Liu Yi,ZHANG Lei. Analysis of regional competitiveness of Chinese iron and steel industry by using artificial neural networks[J]. Journal of Liaoning Technical University (Natural Science Edition), 2007, 26(3): 450-453 |
| |
| Authors: | FU Jia-feng Liu Yi ZHANG Lei |
| |
| Affiliation: | 1.Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101,China; 2.Graduate School of the Chinese Academy of Sciences, GSCAS, Beijing 100049,China; 3.Personnel and Education Bureau, CAS, Beijing 100864,China |
| |
| Abstract: | The present situation of artificial neural network theory for geological study is analyzed in this paper.Back propagation(BP) neural network is a widely used artificial neural network with the character of self-training and strong capability in solving nonlinear problems.On the basic analysis of evaluation techniques of regional competitiveness,application of ANN method and optimal segmentation,we develop a BP neural network model in regional competitiveness evaluation of Chinese iron and steel industry.Results indicate that the regional differentiations of iron and steel industry competitiveness are obvious during 1995a~2000a.These have been fully proved by developmental situation of iron and steel industry since 2000.The coastal area is becoming the main area,therefore,optimizing spatial layout of iron and steel industry is an important task. |
| |
| Keywords: | artificial neural networks optimal segmentation regional competitiveness iron and steel industry |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
