Research of Case Retrieval Strategy in Case-Based Reasoning

Jian Hua Song; Zheng Wang; Lei Zhang

doi:10.4028/www.scientific.net/AMM.278-280.2016

Paper Titles

Design and Application of Decision Support System for Sports Competition
p.1998

Design and Realization of the Wind and Solar Power Energy Production State Visualization Intelligent Management Platform
p.2002

Face Recognition System Based on HWME
p.2006

Information Processing and Key Technology Based on Internet of Thing Architecture for Intelligent Refrigerator
p.2012

Research of Case Retrieval Strategy in Case-Based Reasoning
p.2016

Research of Sleep and Wake-up Mode in WINCE6.0
p.2020

Research on Reverse Analysis Method of Malwares
p.2025

Research on the Potential Characteristics of Object Oriented Software by the Core Structure
p.2029

Stability Analysis of Computer Virus Model System in Networks
p.2033

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Research of Case Retrieval Strategy in Case-Based...

Research of Case Retrieval Strategy in Case-Based Reasoning

Abstract:

This paper put forward a new retrieval strategy which combines character field matching algorithm with the NNH in Case-Based Reasoning. The new retrieval strategy can reduce the times of symptoms match while streamlining retrieved result, and lower the impact of large symptom value difference in the result. The superiority of the strategy is verified by three target cases.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

2016-2019

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.2016

Citation:

Cite this paper

Online since:

January 2013

Authors:

Jian Hua Song, Zheng Wang, Lei Zhang

Keywords:

Case-Based Reasoning (CBR), Character Field Matching Algorithm, Expert System, NNH, Retrieval Strategy

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chen Fumin, Wu Dongruan, Lin Zhihang, Case Matching Algorithm Analysis for Fault Diagnosis, Journal of Beijing University of Aeronautics, 2007. 5, 622-626. In Chinese.

Google Scholar

[2] Zuo Hongfu, Li Yongping, Research and Application of Aircraft Troubleshooting Support Technology Based on CBR, Nanjing University of Aeronautics and Astronautics, 2006. 4. In Chinese.

Google Scholar

[3] David C . Wilson, Case-based Maintenance: The Husbandry of Experience, Indiana, USA: Indiana University, (2001).

Google Scholar

[4] Song Dong, Wang Bo, Aircraft Airborne Equipment Fault Diagnosis Based on CBR, Xibei University of Technology, 2007. 3. In Chinese.

Google Scholar

[5] Simon C.K. Shiu, Sankar K. Pal, Case-based Reasoning: Concepts, Features and Soft Computing, Applied Intelligence, 2004(21): 233-238.

DOI: 10.1023/b:apin.0000043556.29968.81

Google Scholar

[6] C. Chiu, N.H. Chiu,C. I, Hsu. Intelligent aircraft maintenance support system using genetic algorithms and case-based reasoning, International Journal of Advanced Manufacture Technology, 2004（24）: 440-446.

DOI: 10.1007/s00170-003-1707-x

Google Scholar

[7] Wu Haiqiao, Ding Yunliang, Research and Development Of Fault Diagnosis Expert System For Modern Airliner, Nanjing University Of Aeronautics and Astronautics, 2002. In Chinese.

Google Scholar

[8] Zhang Weixiang, Design and Implementation of Modern Aircraft Troubleshooting Expert System, Nanjing University of Aeronautics and Astronautics，2002. In Chinese.

Google Scholar

[9] Wang Cheng, Li Yinghong, Zhang Hengxi, Diagnosis and maintenance System of Aviation Remote Fault Based on CBR Technology, Aviation Maintenance and Engineering, 2004. In Chinese.

Google Scholar