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人工冻土温度场的智能方法预测
引用本文:姚兆明,周启俊. 人工冻土温度场的智能方法预测[J]. 安徽理工大学学报(自然科学版), 2005, 25(3): 26-29,32
作者姓名:姚兆明  周启俊
作者单位:安徽理工大学土木工程系,安徽,淮南,232001;淮南矿业集团矿业工程分公司,安徽,淮南,232001
基金项目:安徽省教育厅青年基金资助项目(2002jp152)
摘    要:通过对两淮地区新建十几个冻结法施工井筒温度场的实测数据样本分析,较全面地考虑影响人工冻土温度场发展的诸因素,利用智能方法对大量样本的学习,形成了一个大型的能预测温度场的开放式网络结构。并与实测数据比较,表明该方法对未知温度场的发展能进行较好地预测,对井筒开挖时间、开挖方式及井壁结构的确定有重要意义。

关 键 词:人工冻土温度场  智能方法  预测
文章编号:1672-1098(2005)03-0026-04
收稿时间:2005-03-17
修稿时间:2005-03-17

The Intelligent Method Forecasting Artificial Frozen Temperature Field
YAO Zhao-ming,ZHOU Qi-qun. The Intelligent Method Forecasting Artificial Frozen Temperature Field[J]. Journal of Anhui University of Science and Technology:Natural Science, 2005, 25(3): 26-29,32
Authors:YAO Zhao-ming  ZHOU Qi-qun
Affiliation:1. Dept. of Civil Engineering, Anhui University of Science and Technology, Huainan Anhui 232001,China;2. Huainan Mining Group Company ,Huainan Anhui 232001 ,China ~
Abstract:After analyzing the sample data of temperature field of a dozen of mines in Huainan and Huaibei, considering the elements which effect the development of temperature field and applying intelligent method to studying the sample, a great open network which can forecast the development of artificial frozen temperature field is formed. Through the comparison with the real date, it proves that the method can forecast the development of unknown temperature field. It is important to forecast the temperature field for determining the excavating time, the election of excavating method and the structure of wall of mine.
Keywords:the artificial frozen temperature field    the intelligent method    forecasting
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