using ga-ann algorithm to predicate coal bump energy
A GA-ANN network was constructed for preidcating coal bump energy, based on the 300 training samples form simulated results with PFC2D software for different coal particle stiffness. It was tested that the average relative error of fitted-output value is only 2.5\%, the averagre relative error of generalized predicated output is only 8.4\%.It is valuable for coal bump energy predication.
predication coal bump energy genetic algorithm artificial neural network