【摘要】 用人工神经网络建立了高梯度磁选过程模型，对不同隐层节点数的神经网络模型的预测性能作了评价；利用选择的最终模型，对高梯度磁选过程的模拟研究表明，该模型可在相当宽广的操作范围内取得较好的预测结果，这说明所建立的模型是合理的、可行的。更多还原

【Abstract】 magnetic separation process model was developed by artificial neural network.The predicting performance of various neural network models with different numbers of hidden nodes were evaluated.The selected final model was employed to simulate the process of high gradient magnetic separation,and the results show that the model is capable of making a good prediction overa broad range of operating conditions,and it is demonstrated that the developed model is reasonable and feasible.更多还原