Fuzzy neural network model applied in the mine water inrush prediction

Jian-yu Xiao; Min-ming Tong; Qi Fan; Chang-jie Zhu

doi:10.1117/12.866853

20 August 2010 Fuzzy neural network model applied in the mine water inrush prediction

Jian-yu Xiao, Min-ming Tong, Qi Fan, Chang-jie Zhu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78203O (2010) https://doi.org/10.1117/12.866853
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

Combining with fuzzy reasoning, neural network and back propagation algorithm, a fuzzy neural network model for the prediction of mine water inrush is built after the analysis of the main factors affected the mine water inrush, such as water pressure, fault throw, water conducted zone width, aquifer thickness and confining bed thickness. Then, on the basis of the water inrush mechanism and some practical examples, influential factors on mine water inrush are divided into three groups, and after that 81 fuzzy inference rules are constructed effectively. And then, the four-layer back propagation fuzzy neural network takes effect in training the input variables. Finally, a simulated prediction of the fuzzy neural network is made by using test samples. The results of simulation show that mine water inrush model based on fuzzy neural network is superior to the traditional BP neural network on training speed and predicting precision.

Citation Download Citation

Jian-yu Xiao, Min-ming Tong, Qi Fan, and Chang-jie Zhu "Fuzzy neural network model applied in the mine water inrush prediction", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203O (20 August 2010); https://doi.org/10.1117/12.866853

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available