DocumentCode
536534
Title
Study on the Application of Improved BP Neural Network in Forecasting the Types of Support of Development Roadways
Author
Song WeiDong ; Wu Shan ; Du Jianhua
Author_Institution
Sch. of Civil & Environ. Eng., Univ. of Sci. & Tech. of Beijing, Beijing, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
5
Abstract
In this paper, based on investigating and analyzing on the affecting factors for support type of development roadways as well as the successful support cases in Chengchao Iron mine, the improved BP neural network is put forward to study on the support type of development roadways. It may be seen from the learning course of learning samples and the prediction results of support types that whether the astringency of learning samples or the prediction results of support types show the high quality and efficiency. It provides a new thought to study on support types of development roadways and has high popularization value. And the limitation and further research goal are also pointed out in this paper.
Keywords
backpropagation; civil engineering computing; mining; neural nets; road building; BP neural network; Chengchao Iron mine; development roadways; learning course; learning samples; popularization value; prediction efficiency; prediction quality; Artificial neural networks; Convergence; Iron; Mathematical model; Stress; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5660241
Filename
5660241
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