摘要
遗传编程是一种具有自动选择输入变量、自动确定模型结构特性的新的建模方法。在分析了遗传编程进化速度慢的原因后,采用新的适应值调整方法,改善了进化速度。将该方法用于低浓打浆过程的动态建模的结果显示,依此建立的模型能较好地反映打浆过程的动态特性。
Genetic programming（GP） can derive both a model structure and its parameter values,and GP is a novel technique of process modeling.After the cause of slow evolution of GP is analyzed,a novel fitness stimulating method is introduced into GP to improve the evolution of GP.The method is applied to establish the model of low consistency refining,and results show that the model can well reveal the dynamic performances of stock refining process.
出处
《中国造纸学报》
CAS
CSCD
北大核心
2010年第1期86-89,共4页
Transactions of China Pulp and Paper
关键词
动态模型
打浆过程
遗传编程
dynamic model
refining process
genetic programming
