NDLI: Application of BP neural network to determine of mine water inrush sources based on Matlab

Content Provider	IEEE Xplore Digital Library
Author	Jianlin Li Hongyun Zhang
Copyright Year	2011
Description	Author affiliation: Instituite of Resources & Environment, Henan Polytechnic University, Jiaozuo, China (Jianlin Li; Hongyun Zhang)
Abstract	Because of the developing environment, the occurring conditions and the randomness, uncertainty and fuzziness of mine water inrush, it is a very complex nonlinear system to determination of mine water inrush sources. Artificial neural network is of the stronger self-organization, self-adaptability and self-learning capability, which is specially suited to solve nonlinear problems. In the paper, we analyzed fristly the chemical characterstic of aquifer of certain mine. 78 samples of pit water as the training sample survey and other 31 samples of pit water as test samples, BP neural network based on Matlab was set up and applied in the mine water to determine of mine water inrush sources. The model gains a better application in practical projects and the accuracy of the assessment is above 90%. It is simple and its assessmentresults are noteasily affected by the human factors. So BP neural network based on Matlab is effective and is worth to popularization and application to determine of mine water inrush sources.
Starting Page	179
Ending Page	182
File Size	176379
Page Count	4
File Format	PDF
ISBN	9781457705359
e-ISBN	9781457705366
DOI	10.1109/AIMSEC.2011.6010199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training BP neural network Mine water inrush Coal Mathematical model Determination of mine water inrush sources Surges Water resources Biological neural networks Floors Matlab
Content Type	Text
Resource Type	Article

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