Prediction and research of coal and gas outburst based on radial basis function neural networks
| Autor: | Ma Hong-Feng, Wang Xin, Dang Jian-Wu |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Artificial neural network business.industry Astrophysics::High Energy Astrophysical Phenomena technology industry and agriculture Artificial neural network model respiratory system Machine learning computer.software_genre complex mixtures respiratory tract diseases Physics::Popular Physics Prediction algorithms Mining engineering Radial basis function neural otorhinolaryngologic diseases Astrophysics::Solar and Stellar Astrophysics Coal Artificial intelligence business computer Physics::Atmospheric and Oceanic Physics Network model |
| Zdroj: | 2010 International Conference on Mechanic Automation and Control Engineering. |
| DOI: | 10.1109/mace.2010.5535948 |
| Popis: | It is of great theoretical and practical significance of the coal and gas outburst prediction. Through the study of the original samples and the example analysis of the Predictable samples, coal and gas outburst prediction based on artificial neural network model is studied. According to the characteristics of coal and gas outburst and coal and gas outburst data indicators, a coal and gas outburst prediction of the radial basis function neural network model is established. Experiments show that the use of radial basis function neural network model can overcome the shortcomings of instability and inaccurate in the coal and gas outburst prediction, so it has more extensive application value. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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