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采用改进型反向传播人工神经网络，以含铁矿物穆斯堡尔参数作为样本，通过神经网络的训练，能很好地识别矿物，从而有效地提高了对矿物的识别本领。
The improved backpropagation artificial neural network is used to take the Mossbauer parameter of iron ore as a sample. The training of neural network can identify the mineral well and effectively improve the identification ability of the mineral.