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Based on analyzing the contents of safety early-warning system for the working face in mine and according to the production characteristic of coal mine in China, combining the analytical hierarchy process and neural network BP algorithm. The safety early-warning system for the working face in mine was also designed based on the combinatorial algorithm. The system was applied to estimate support capacity...
Application of alternate covering neural network in data mining is given to the classification algorithms, which overcome the continuous iteration and local minimum of traditional neural network algorithms. The calculation speed is high and it is able to adapt to high-dimensional data classification well. Through case study, intuitive geometric significance of alternate covering is used to structure...
Prevention and control of the disastrous accident is the top priority of coal mine production safety. RBF and the combined grey neural network (CGNN) model are established. Combined with cascade-correlation (CC) and RBF-DDA algorithms, gas explosion impacting on coal mine production safety largely is analyzed. The analysis results show that gas explosion accident is caused by many reasons. The relationship...
For the purpose of enhance the security of poor working in coal mine, it's important to study on the problem of location and tracking for keeping mining personnel and down hole equipments safe. We put forward wireless sensor network underground location algorithm which is based on the superposition of RSSI and DV-Hop. This algorithm makes up for the shortage of RSSI algorithm and DV-Hop algorithm...
Based on the characteristics of coal mine safety information - activity, dynamic changes, closely related to the space, this paper puts forward the project about the safety monitoring system of coal mine based on spatial data mining ,and builds a coal mine safety monitoring system model based on spatial data mining and GIS technology. The safety monitoring system of coal mine will fundamentally reduce...
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