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采用BP神经网络 ,建立炼铜转炉吹炼造铜期终点与各影响因素之间的数学模型 ,对吹炼终点进行预报。经实践检验 ,模型具有较强的自学习及泛化能力 ,预报结果具有较高的精度 ,能有效地指导生产实践。
The BP neural network was used to establish the mathematical model between the end of blowing coppermaking period and the various influencing factors, and forecasting the end of blowing. The practical test, the model has a strong self-learning and generalization ability, the forecast results with high accuracy, can effectively guide the production practice.