基于改进GMDH的科技成果中试转化系统模型构建  

Technological Achievements Pilot Conversion Model Building Based on the Improved GMDH

作　　者：韩愈[1] 王晶[1] 陆宁云[1] 董菲[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《江南大学学报（自然科学版）》2014年第1期11-16,共6页Joural of Jiangnan University (Natural Science Edition)　

基　　金：国家自然科学基金项目(20806040)

摘　　要：基于科技成果中试转化运行原理,搭建中试系统机理模型,利用改进GMDH构建相应数学模型。改进GMDH将含有回归项线性相关检测的快速递归算法(FRA)代替传统最小二乘(OLS)进行GMDH多层建模的部分多项式求解,使用初始变量添加法避免有效神经元过早丢失。以改进的GMDH对上海市中试转化统计数据进行建模及仿真实验,结果表明,所建模型比传统GMDH模型精度高,泛化能力强。On the basis of analysis of the pilot process operation principle, this paper builds a pilot conversion mechanistic model and its mathematical model through using the improved batch data processing algorithm （GMDH） ; This paper replaces the traditional least squares algorithm with the fast recursive algorithm （FRA） containing a linear correlation detection to calculate the coefficients of the polynomial in the process of the muhilayer modeling, and designs the initial variables to avoid active neurons losing early. The improved algorithm is applied to system modeling based on the Shanghai pilot conversion statistical data, the simulation results show that the accuracy and generalization capability of the built model are better than the traditional model.

关 键 词：科技成果 中试转化 数据分组处理算法 快速递归算法 系统建模 

分 类 号：N945.12[自然科学总论—系统科学]