摘要
针对企业复杂能耗单元输入输出模型研究的要求,研究了基于改进资源分配网络的能耗单元输入输出模型辨识方法。针对常用的资源分配网络存在的问题,提出了一种基于粗糙集和正交最小二乘的资源分配网络设计方法,通过粗糙集数据分析与处理提取训练样本中典型的数据特征,再结合正交最小二乘学习算法选取对输出能量贡献最大的数据中心加入到隐层节点。实例仿真结果表明,采用该方法辨识企业能耗单元输入输出模型具有结构简单、训练快捷、泛化能力较好等优点。
According to the necessity for researching the input-output model of enterprise complex energy-consuming unit, the modeling method for energy-consuming unit based on improved Resource Allocating Network (RAN) was researched. In view of the existing problems of traditional resource allocating networks, a design method for RAN based on rough set and orthogonal least square (OLS) was proposed. Firstly, rough set was applied to intelligent data analysis for extracting typical characteristics from the training samples, and then OLS was used to select best centers as the hidden layer nodes. The simulation results show that the presented modeling method has the advantages of simple network structure, high convergence rate and better generalization ability, etc.
出处
《计算机应用》
CSCD
北大核心
2008年第10期2499-2502,2506,共5页
journal of Computer Applications
基金
国家"十一五"科技支撑计划资助项目(2006BAF01A46)
上海市科技发展基金重点资助项目(061612058)
上海市科委基础研究重点资助项目(06JC14066)
关键词
能耗单元
资源分配网络
粗糙集
正交最小二乘
energy-consuming unit
Resource Allocating Network (RAN)
rough set
orthogonal least square