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A new approach to predicting mining induced surface subsidence

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成果类型:
期刊论文
作者:
Ding De-xin*;Zhang Zhi-jun;Bi Zhong-wei
通讯作者:
Ding De-xin
作者机构:
[Ding De-xin] Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China.
Nanhua Univ, Sch Architectural Resources & Environm Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Ding De-xin] C
Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China.
语种:
英文
关键词:
mining induced surface subsidence;fuzziness and interaction of parameters;artificial neural fuzzy inference system
关键词(中文):
地表下沉;采矿;模糊神经网络;地表压力
期刊:
中南大学学报(英文版)
ISSN:
2095-2899
年:
2006
卷:
13
期:
4
页码:
438-444
基金类别:
Project(50274043) supported by the National Natural Science Foundation of China; project (01JJY1004) supported bythe Natural Science Foundation of Hunan Province; project (01A015) supported by the Natural Science Foundation of Hunan ProvincialEducation Committee;
机构署名:
本校为其他机构
院系归属:
土木工程学院
摘要:
There are many parameters influencing mining induced surface subsidence. These parameters usually interact with one another and some of them have the characteristic of fuzziness. Current approaches to predicting the subsidence cannot take into account of such interactions and fuzziness. In order to overcome this disadvantage, many mining induced surface subsidence cases were accumulated, and an artificial neuro fuzzy inference system(ANFIS) was used to set up 4 ANFIS models to predict the rise angle, dip angle, center angle and the maximum subsidence, respectively. The fitting and generalizati...
摘要(中文):
有许多参数,影响采矿导致的表面沉淀。这些参数通常与对方一起交往,他们中的一些有典型 offuzziness。预言沉淀的途径不能如此的相互作用和模糊考虑的电流。以便克服这劣势,许多采矿导致了表面沉淀盒子被积累,并且人工的 neuro 模糊推理系统(ANFIS ) 被用来设置 4 个 ANFIS 模型预言上升角度,剧降角度,中心角度和最大值沉淀分别地。试穿和模型的归纳预言能力被测试。模型有很好的适合和归纳预言能力,途径能被使用预言采矿的测试结果表演导致了表面沉淀。

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