PDF Download

[1]WANG Yan,SONG Zhen-bai,WU Pei-lin.Land Suitability Evaluation of High and New Technology Industry Based on BP Network[J].Research of Soil and Water Conservation,2008,15(04):248-250,266.

Copy

Land Suitability Evaluation of High and New Technology Industry Based on BP Network

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 15 Number of periods: 2008 04 Page number: 248-250,266 Column: Public date: 2008-08-20

Title:: Land Suitability Evaluation of High and New Technology Industry Based on BP Network

Author(s):: WANG Yan¹, SONG Zhen-bai², WU Pei-lin³; 1. School of Architectural Engineering, Shandong University of Technology, Zibo, Shandong 255049, China;
2. School of Resource and Environment Engineering Shandong University of Technology, Zibo, Shandong 255049, China;
3. School of Economics, Shandong University of Technology, Zibo, Shandong 255049, China

Keywords:: BP network; L-M optimize arithmetic; high and new technology industry; suitability evaluation

CLC:: F323.2

DOI:: -

Abstract:: Based on analyzing key problems for land suitability evaluation,the artificial neural network theory is introduced to solve automatically the determination of weigh. In order to properly evaluate land of high and new technology industry, a new analysis index system is put forward. Finally, the method is used to evaluate the suitability of Ji’nan using GIS and BP network L-M optimize arithmetic, and experiment shows it is accurate and effective.

References:: [1] 李新运.城市空间数据挖掘方法与应用[M].济南:山东大学出版社, 2005.
[2] 申金山, 关柯.城市居住用地适宜性评价方法与应用[J].城市环境与城市生态, 1999, 12(2):29-31.
[3] 许嘉巍, 刘惠清.长春市城市建设用地适宜性评价[J].经济地理, 1999, 19(6):101-104.
[4] 张菁, 陈智高.基于神经网络专家系统的城镇土地分等定级评价[J].华东理工大学学报:社会科学版, 2005(1):55-59.
[5] 薛月菊, 胡月明, 杨敬锋, 等.基于概率神经网络的广东省土地资源评价[J].华南农业大学学报, 2006, 27(3):108-110.
[6] 孔萌, 刘俊民.BP神经网络L-M优化算法在地下水动态预测中的应用[J].水土保持研究, 2007, 14(5):48-49.
[7] 范磊, 张运陶, 程正军.基于Matlab的改进BP神经网络及其应用[J].西华师范大学学报:自然科学版, 2005, 26(1):70-73.
[8] 戴文战.基于三层BP网络的多指标综合评估方法及应用[J].系统工程理论与实践, 1999, 19(5):29-34.

Similar References:

Memo

Last Update: 1900-01-01