摘要
针对烧结配矿的复杂性 ,建立了综合神经网络模拟模型 ,用以仿真烧结配矿与烧结矿产质量指标间的关系 ,并利用生产数据对模型进行了检验。综合神经网络的应用能大大提高预报的命中率 ,同时 ,对在其他领域的应用 ,也有很好的参考价值。
In this paper,a simulant model based on integrative neural network to the complexity of sintering raw materials proportioning was proposed.It can simulate the relation of the iron ore proportion and index of the sinter output and sinter quality.The simulant model was validated with the yield data.With the application of integrative neural network,the model veracity is improved.
出处
《烧结球团》
北大核心
2003年第6期7-11,共5页
Sintering and Pelletizing
