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神经网络技术在地面沉降区划中的应用研究
引用本文:武建强,余勤.神经网络技术在地面沉降区划中的应用研究[J].地质学刊,2003,27(3):171-174.
作者姓名:武建强  余勤
作者单位:江苏省地质调查研究院 江苏南京210018 (武建强),江苏省地质调查研究院 江苏南京210018(余勤)
摘    要:复杂的第四系沉积环境构成地面沉降的地质背景,在对比分析第四系厚度、地下水位、含水层以及软土层发育程度的基础上,尝试性地运用人工神经网络技术对苏锡常地区地面沉降易发区进行识别。除基岩出露区外全区共被划分成4类块段,这种分布与第四系条件具有很强的空间相关性,经检验具有较高的可信度。

关 键 词:地面沉降  人工神经网络  苏锡常地区  识别
文章编号:1003-6474(2003)03-0171-04
修稿时间:2002年9月2日

Application Study of Nerve Network Technology in Land Subsidence Planning
WU Jian-qiang,YU Qin.Application Study of Nerve Network Technology in Land Subsidence Planning[J].Jiangsu Geology,2003,27(3):171-174.
Authors:WU Jian-qiang  YU Qin
Abstract:In Su-Xi-Chang region, the land subsidence resulted by the over extraction of ground water has become a problem that affects the sustainable development of the region and arouses public attention. An exact understanding of the incidentalness for the land subsidence and a rational zonation are of great significance to the policy-making and regional economic development layout. The complicated Quaternary sedimentary environment forms the background of land subsidence.Based on a contrast analysis of the thickness of Quaternary system, ground water level, apuifer and the developing extent of the soft soil layers, a trial application of artificial nerve network technology is used for identifying the incidentalness of land subsidence in SU-XI-Chang region.Four types of blocks for the whole region are classified except the bedrock exposed areas, the distribution has a strong spatial correlation with the Quaternary conditions, the classification is of high trust through verification.
Keywords:Land subsidence  Artificial nerve network  Su-Xi-chang region
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