...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Neural computing & applications >Research on prediction model of geotechnical parameters based on BP neural network
【24h】

Research on prediction model of geotechnical parameters based on BP neural network

机译：基于BP神经网络的岩土地参数预测模型研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the vigorous development of the national economy, the pace and scale of urban construction have been unfolded at an unprecedented speed. A large number of construction projects have made the urban engineering geological exploration activities reach a considerable scale in depth and breadth. The survey results of these projects are very valuable information resources, which not only played an important role in urban planning and construction at that time, but also had high reuse value. Based on BP neural network theory, this paper uses engineering geological database as the research and development platform. Based on the theory of BP neural network and the engineering geological database as the research and development platform, this paper establishes the prediction of geotechnical parameters based on the analysis of the characteristics of geotechnical materials and the distribution of geotechnical sediments and geotechnical parameters. Based on the survey data and specific engineering information, the prediction model of the project was established, and the distribution of the stratum and the relevant geotechnical parameters were predicted. Based on the study of geotechnical properties and BP neural network, a new parameter prediction model is established. Taking the engineering geological database as the platform, using the programming language such as MATLAB, the preliminary research and construction of this prediction system were carried out. The results show that the generalization ability of the prediction model meets the requirements.
机译：随着国民经济的蓬勃发展，城市建设的步伐和规模以前所未有的速度展开。大量建筑项目使城市工程地质勘探活动达到了相当大的规模，深度和广度。这些项目的调查结果是非常有价值的信息资源，这在当时的城市规划和建筑中不仅在城市规划和建筑中发挥着重要作用，而且还具有高的再利用价值。基于BP神经网络理论，本文采用工程地质数据库作为研发平台。基于BP神经网络和工程地质数据库作为研发平台的理论，本文建立了基于岩土材料特性分析的岩土地参数的预测，以及岩土沉积物分布和岩土地参数。基于调查数据和特定的工程信息，建立了该项目的预测模型，预测了层的分布和相关的岩土学学参数。基于岩土性能和BP神经网络的研究，建立了一种新的参数预测模型。以工程地质数据库为平台，采用MATLAB等编程语言，进行了初步研究和构建该预测系统。结果表明，预测模型的泛化能力符合要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号