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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hua Fu Tao Wang Cui Yang |
| Copyright Year | 2009 |
| Abstract | The environment is complex and the parameters are difficult to measure accurately in coal mine, so fuzzy theory and neural network technology were applied to structure intelligent fuzzy neural network sensor system in the areas of coal mine safety monitoring, which had a research focus on the formation and training of intelligent fuzzy sensor system membership function network samples and fuzzy inference network samples based on RBF neural networks. Fuzzy neural network technology can make accurate detection to complex parameters in coal mine, and transform the numerical output of traditional numerical measurement system into the language description output, which provides a powerful technical support for coal mine safety monitoring system. Simulation results show that the method provides a new way of thinking for coal mine safety monitoring, and it is effective very much |
| Starting Page | 306 |
| Ending Page | 310 |
| File Size | 366636 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769537351 |
| DOI | 10.1109/FSKD.2009.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent networks Neural networks Fuzzy neural networks Sensor systems Safety Intelligent structures Intelligent systems Monitoring Intelligent sensors Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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