期刊文献+

基于范例推理的后勤非对抗性仿真作业系统研究

Research on Schoolwork System of Logistics Nonantagonistic Simulation Based on Case-Based Reasoning
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摘要 在介绍基于范例推理方法基本原理的基础之上,分析了基于范例推理的后勤仿真作业系统的框架结构和工作原理;探索了应用范例推理方法实现后勤仿真作业系统的技术框架,仿真作业系统中对范例检索采用最相邻近策略,将范例属性采用对称二维表结构方式存储,对范例特征的影响程度依次检索。说明了仿真作业系统的学习机制,范例库学习中采用的多范例集成机制。 On the basis of introducing the way of Case-Based Reasoning (CBR), the paper analyzes the principle and frame of the logistics simulation schoolwork system on CBR, explores the technical frame that application the method of Case-Based Reasoning to realizes logistics simulation schoolwork system. The nearest-neighbor tactics have been adopted by the case searches in simulation schoolwork system, the case attributes are stored in symmetrical two-dimensional form structure, the influence degree of the case characteristic is searched in order, the study mechanism of the simulation schoolwork system is illuminated, and the integrated mechanism of multi-case in the case base study is adopted.
出处 《系统仿真学报》 EI CAS CSCD 2004年第11期2425-2427,共3页 Journal of System Simulation
关键词 范例推理 后勤 仿真系统 保障方案 case-based reasoning logistics simulation system ensure scheme
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  • 1周凯波,魏莹,冯珊.基于案例推理的金融危机预警支持系统[J].计算机工程与应用,2001,37(14):18-21. 被引量:23
  • 2Ralph Barletta,田伟涛.基于事例的推理导论[J].计算机科学,1993,20(1):10-14. 被引量:23
  • 3袁小红,王珏.基于事例的推理:综述与分析[J].模式识别与人工智能,1995,8(A01):18-31. 被引量:19
  • 4于江.[D].西安: 西安理工大学,1996. 被引量:1
  • 5[1]Hiroshi Tsukimoto.Extracting rules from neural networks[J].IEEE Transactions on Neural Networks,2000,11(2):377~389 被引量:1
  • 6[2]Jagielska,I.,Matthews,C.Whitfort,T.An investigation into the application of neural networks,fuzzy logic,genetic algorithms ,and rough sets to automated knowledge acquisition for classification problems[J].Neurocomputing,1999,24,37~54 被引量:1
  • 7[3]M.E.Yahia,R.Mahmod.N.Sulaiman.et al.,Rough neural expert systems[J].Expert systems with applications,2000,18,87~99 被引量:1
  • 8[4]M.Mejia-Lavalle and G.Rodriguez-Ortiz.Obtaining expert system rules.using data mining tools from a power generation database[J].Expert systems with applications,1998,14,37~42 被引量:1
  • 9[5]A.Kraslawski,W.Pedrycz and L.Nystrom,Fuzzy neural network as instance generator for case-based reasoning system[J].Neural Computing & Applications,1999,Vol.8,106~113 被引量:1
  • 10[6]Mario Lenz et al.Case-based reasoning :from foundations to applications[M].Berlin,Springer,1998 被引量:1

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