[1]冯珊,郭四海.面向复杂产品的多层智能推理框架[J].智能系统学报,2011,6(4):283-288.
FENG Shan,GUO Sihai.Research on the architecture of a multilevel intelligent casebased reasoningoriented complex equipment system[J].CAAI Transactions on Intelligent Systems,2011,6(4):283-288.
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FENG Shan,GUO Sihai.Research on the architecture of a multilevel intelligent casebased reasoningoriented complex equipment system[J].CAAI Transactions on Intelligent Systems,2011,6(4):283-288.
面向复杂产品的多层智能推理框架
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第4期
页码:
283-288
栏目:
学术论文—智能系统
出版日期:
2011-08-25
- Title:
- Research on the architecture of a multilevel intelligent casebased reasoningoriented complex equipment system
- 文章编号:
- 1673-4785(2011)03-0283-06
- Keywords:
- multilevel casebased reasoning; replacement rules; simulation based acquisition; extensible markup language
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 案例推理是基于知识的问题求解方法.克服复杂产品进行单层案例推理所面临的粗粒度问题，考虑到复杂产品案例表达多层次的特点，根据领域知识和部件功能相似性，基于XML描述的部件层次互换约束规则，实现深层次的案例细节调整和修改，从而建立了多层智能推理方法框架，为多层次复杂产品案例推理问题提供可行的解决方案.并以某类复杂产品采办全生命周期中的概念设计为例说明多层智能推理框架问题求解的有效性和面向用户服务的支持效率.
- Abstract:
- Casebased reasoning is a knowledgebased problem solving method. To overcome the coarsegrained problem in the singlelevel casebased reasoning of complex equipment systems; Based on the characteristics of the multilevel of complex equipment systems, the domain knowledge and the similarity of the components’ functions were considered, and the framework of multilevel intelligent casebased reasoning was proposed. In the framework, XML was used for describing the language of component replacement rules in order to realize the adjustment and modification of deeplevel details of the case. The improvement and application of the framework are feasible solutions for casebased reasoning of a multilevel complex product system. Finally, an illustrative example for conceptual design of complex equipment systems was given to clarify the feasibility and effectiveness of the multilevel intelligent CBR framework.
- 参考文献/References:
-
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ZHANG Rongmei, TU Xuyan. CBRcased intelligent decision support system for traffic accident disposing［J］.Computer Engineering and Applications, 2002, 38(2): 247249.
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备注/Memo
收稿日期： 2010-12-15.
基金项目： “十一五”国家部委资助项目(513040501);国家部委重点基金资助项目(9140A04050707)；国家自然科学基金重大资助项目（79990580）.
通信作者：冯珊. E-mail:sfeng@mail.hust.edu.cn.
作者简介：
冯珊，女，1935年生，教授，博士生导师.主要研究方向为复杂系统建模与仿真、人工智能与计算智能的工程应用及多Agent系统等.多年来主持智能集成系统工程研究室工作，承担多项国家级自然科学基金及国防预研基金重点科研项目并多次获国家及省部级科技进步奖.发表学术论文160余篇，其中有66篇被SCI、EI、ISTP及INSPEC等检索.
郭四海，男，1976年生，博士研究生，主要研究方向为建模与仿真、人工智能技术及虚拟采办决策支持系统等.
更新日期/Last Update:
2011-09-30