Analysis on uranic slope stability based on neural network

Yufeng Zhu, Xiaoli Ding, Zhiwei Li, Shijian Zhou

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

How to accurately predict the occurrence of landslides, and it has become one of the troubles in the mining process. The author made a brief introduction of artificial neural network and BP network model in this paper, and also analysis some important problems , such as the parameters selecting, data collecting, processing and network constituting by using the study and forecast samples which from the slope stability of Fuzhou Jin-An Uranium Industry Limited Company, and then setting a prediction model. This paper discusses the slope stability methods and its effectiveness based on the BP neural network. Examples of calculation shows that the using of artificial neural network approaching to the stability of the slope of the forecast can made satisfactory results through the training sample test. This model provides a viable method for the future stability of the slope of such evaluation. At the same time, the feasibility of the application for the neural network in the mine slope stability is proved.
Original languageEnglish
Title of host publicationProceedings - 2010 International Forum on Information Technology and Applications, IFITA 2010
Pages421-423
Number of pages3
Volume3
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event2010 International Forum on Information Technology and Applications, IFITA 2010 - Kunming, China
Duration: 16 Jul 201018 Jul 2010

Conference

Conference2010 International Forum on Information Technology and Applications, IFITA 2010
CountryChina
CityKunming
Period16/07/1018/07/10

Keywords

  • Forecast network model
  • Neural network
  • Safety of slope
  • Uranic slope

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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