【摘要】 网形图是指导冲天炉熔炼操作的重要工具。综合自适应模糊推理的建模功能和神经网络的学习能力 ,直接从实验数据中提取推理规则 ,建立了基于网形图的冲天炉熔炼过程模型。模型具有较高的预测精度和泛化能力 ,可以帮助操作者认识熔炼规律 ,据此得出的新型网形图使用起来更为方便快捷。更多还原

【Abstract】 Net diagrams are as an important tool for cupola operating practice. In order to control and optimize the melting process properly, it is necessary to describe the relationships between melting parameters with mathematical model. By the coupled use of adaptive fuzzy inference modeling and artificial neural network learning ability, a set of operating rules, which could help us to better understand the basic principles of cupola melting operation, have been generated directly from the experimental net diagram data. The developed fuzzy inference systems could map the relationships between operating parameters accurately. A new type of diagram is proposed to simplify the determination of optimal blast of and carbon rates by the cupola supervisor. The methodology present here could also be used for other data based process modeling and knowledge acquiring practices.更多还原