摘要
根据汽轮机末级排汽焓与其影响因素之间的映射关系,提出了一种基于免疫原理的RBF神经网络模型来计算汽轮机的排汽焓。计算结果表明,该模型收敛速度快,运算简便,预测精度较高,具有一定的工程应用价值。
According to mapping relationship of the steam enthalpy of the turbine's exhaust and its effction, a mathemtical model based on the Immune radial basis function network was established. It can be used the steam enthalpy of the turbine's exhaust. The applicationof the model shows that the proposed method is featured by swiftness, accuracy and ease of practical application.
出处
《汽轮机技术》
北大核心
2008年第5期347-349,共3页
Turbine Technology
关键词
汽轮机
排汽焓
RBF神经网络
steam turbine
enthalpy of the turbine' s exhaust
RBF network