基于学习的知识转移改进模型及其在国家电力智能调度支持系统开发管理中的应用  

Improved Model of Knowledge Transfer Based on Learning and Application of State Power Intelligent Scheduling Support System Development Management

作　　者：闫华锋[1,2] 

机构地区：[1]东南大学经济管理学院,南京210013 [2]国网电力科学研究院,南京210003

出　　处：《软科学》2014年第9期129-133,共5页Soft Science

基　　金：国家自然科学基金项目(71071033)

摘　　要：提出了一种基于学习的知识转移改进模型。以国家电力智能调度支持系统的开发管理为例,详细阐述了该系统的建设背景、研发过程以及IMKT-L模型在其知识转移过程中的应用分析。通过知识转移效率比较,表明了IMKT-L模型能有效降低知识在转移过程中的损失。Improved model of knowledge transfer based on learning was present. Meanwhile, in the case of state power smart scheduling support system which was a complex competitive system, this paper elaborated its construction backgrounds, development process and application analysis of IMKT-L in the knowledge transfer process in detail. Comparative analysis on knowledge transfer efficiency show that IMKT-L could effectively reduce knowledge loss in knowledge transfer process.

关 键 词：智能学习 知识转移 智能调度支持系统 

分 类 号：C93-03[经济管理—管理学] F273