摘要
利用遗传算法与神经网络相结合的方法 ,建立了烧结矿质量预测模型 ,并改进BP网络学习算法 ,预测烧结矿FeO质量分数wFeO 和烧结矿碱度R指标 .仿真结果表明 。
By combining the GA with BP network,a predictive model of sinter quality is established,the learning method to improve BP neural network is presented,and FeO's w FeO and R index of sinters has been predicted.The results of simulation show that through the model,the satisfactory predictive results can be obtained by the model.
出处
《鞍山钢铁学院学报》
2001年第6期406-408,共3页
Journal of Anshan Institute of Iron and Steel Technology
