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Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session III -Information Theory
Damage Prediction Model of High Pressure Water Jet Impinging Coal Rock Based on PSO-BPNN
J. Liu,* J. Gao, M. Wang, D. Sun
*corresponding author
Full text: pdf
Pre-published on: 2017 July 17
Published on: 2017 September 06
In order to study the damage in coal rock under high pressure water jet, which is closely related to the efficiency of coalbed gas drainage, a three-dimensional damage numerical model is est
ablished. Based on the simulation results and PSO-BNPP (particle swarm optimization, PSO and back-propagation neural network, BPNN) method, a damage prediction model of high pressure water jet impacting coal rock was established. The results show that the mean absolute error, the mean absolute percentage error of the model are 1.23 and 7.45% respectively, and the actual and the predicted values show significant positive correlation. In this sense, the model can describe the relationship between the coal roc k damage and the water jet parameters well.
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