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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Haiming Wang Renhe |
| Copyright Year | 2010 |
| Abstract | The parameters of deep mine roadway surrounding rock are very important to the design, construction and stability analysis of the mine roadways. Now there are some shortcomings in the methods to obtain them. It is believed that displacement back analysis method can solve the problems, but there are some defects in it. Aiming at these problems, the paper builds a network of intelligent displacement back analysis of deep mine roadway surrounding rock which is based on MATLAB NN toolbox. Numerical method and orthogonal design method are used to construct the learning samples, to ensure that the samples are in accord with the practical situation and have uniform dispersivity and symmetrical comparability. At last, an example is introduced to show IDBADMRSR's application. The results show that the method has high computation precision, above 90%, and has overcome some flaws of traditional displacement back analysis methods. The method is feasible and recommendable. |
| Starting Page | 808 |
| Ending Page | 811 |
| File Size | 291801 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424472796 |
| e-ISBN | 9781424472802 |
| DOI | 10.1109/ICICTA.2010.807 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | artificial neural network Design automation Design methodology orthogonal design Optimization methods Artificial neural networks Stability analysis deep mine roadway Intelligent networks Neural networks Computer networks displacement back analysis Artificial intelligence Civil engineering |
| Content Type | Text |
| Resource Type | Article |
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