Comparison of application on Elman and BP neural networks in discriminating water bursting source of coal mine
Elman与BP神经网络在矿井水源判别中的应用

The discrimination of the mine water-bursting source is deemed to be a basic knowledge for the water control in the mines.A speedy and precise discrimination is of key importance to the safe production of the whole mine.This paper introduces Elman neural networks and Back-propagation neural networks.Take Xieyi mine as an example,establishes the distinguishing model for water bursting by Elman neural networks and BP neural networks with groundwater chemical characteristics,respectively. Experimental results ...