摘要
烧结过程是铅锌冶炼过程中的一个重要环节,但烧结过程的建模难度较大。文章提出了一种烧结块成分预测的模糊神经网络模型,并通过仿真验证了其可行性。
Sintering process plays an important part in smelting lead & zinc. However,the modeling of the sintering process is difficult. In this paper,a FNN(Fuzzy Neural Network) model to forecast the ingredient of the sintering block is brought forward and its feasibility is validated by simulation.
出处
《电脑与信息技术》
2005年第3期51-54,共4页
Computer and Information Technology
