منابع مشابه
Study on Compound Genetic and Back Propagation Algorithm for Prediction of Coal and Gas Outburst Risk
Coal and gas outburst is a very complex phenomenon of dynamic disaster in coal mine. There exists a complex non-linear mapping relationship which could not be described with functions between outburst risk and its influential factors. Due to the originality and superiority of artificial neural network (ANN) for modeling and imitating non-linear problems, an ANN model for prediction of outburst ...
متن کاملAn Improved Coal and Gas Outburst Prediction Algorithm Based on BP Neural Network
The coal and gas outburst is one of complex geological disasters and its prediction is influenced by a multiple of factors, such as coal gas, ground stress, physical and mechanical properties, and complex non-linear system, which cause the low prediction accuracy. It is a favorable scheme to use the nonlinear BP neural network for the prediction algorithm design. But, the traditional BP neural ...
متن کاملPrediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network
The article describes the research of coal and gas outburst prediction technology and the new problems they face in the modern mining. It also describes the superiority of neural network technology in dealing with complex geological conditions. It refers to the possibility and necessity of combination of the coal and gas outburst prediction and artificial neural networks, and other hightechnolo...
متن کاملPropagation characteristics of pulverized coal and gas two-phase flow during an outburst
Coal and gas outbursts are dynamic failures that can involve the ejection of thousands tons of pulverized coal, as well as considerable volumes of gas, into a limited working space within a short period. The two-phase flow of gas and pulverized coal that occurs during an outburst can lead to fatalities and destroy underground equipment. This article examines the interaction mechanism between pu...
متن کاملImproved Prediction Model for Determining the Lost Gas Content of Extreme-soft and Outburst-prone Coal Seam
Few study has been carried out on the desorption rules of extreme-soft and outburst-prone coal in south of China, especially coal from Hunan Province of which the value of “f” is normally less than 0.2. Desorption experiments are conducted on the coal samples from Hongwei and Jiahe Mines in Hunan Province, and the following phenomena can be observed: the calculating mean error by t method and p...
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ژورنال
عنوان ژورنال: International Journal of Mining Science and Technology
سال: 2017
ISSN: 2095-2686
DOI: 10.1016/j.ijmst.2016.11.003