软科学
軟科學
연과학
Soft Science
2014年
9期
129~133
,共null页
智能学习 知识转移 智能调度支持系统
智能學習 知識轉移 智能調度支持繫統
지능학습 지식전이 지능조도지지계통
intelligent learning; knowledge transfer; intelligent scheduling support system
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。
提齣瞭一種基于學習的知識轉移改進模型。以國傢電力智能調度支持繫統的開髮管理為例,詳細闡述瞭該繫統的建設揹景、研髮過程以及IMKT-L模型在其知識轉移過程中的應用分析。通過知識轉移效率比較,錶明瞭IMKT-L模型能有效降低知識在轉移過程中的損失。
제출료일충기우학습적지식전이개진모형。이국가전력지능조도지지계통적개발관리위례,상세천술료해계통적건설배경、연발과정이급IMKT-L모형재기지식전이과정중적응용분석。통과지식전이효솔비교,표명료IMKT-L모형능유효강저지식재전이과정중적손실。
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.
