1. Case-Based Reasoning
Shih-Hsiung, Chou

2. Outline Introduction of CBR Architecture of CBR Ant Optimization
Backpropagation
Framework of ASCA-BP CBR model
Applications of CBR

3. Introduction of CBR Recall the first time the car you drove.
Manual Auto
Nissan Toyota
Dodge speedometer and tachometer Toyota
Why can you drive so many cars that have different types of dashboard?

4. Introduction of CBR How human beings solve problems?
by step-by-step instruction
by knowledge
by heuristic knowledge
You don’t know a reason; you can’t explain it
by memories
solve problem by past experience. (similarity cases)
This is what CBR wants to do
Memory-based problem-solving
re-using past experiences

5. Introduction of CBR Definition: Field[2]:
Case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. [1]
Field[2]: AI
Machine Learning
Data Mining
Expert System

6. Architecture of CBR CBR Cycle[2] New Problem RETRIEVE Case Library
Retained experience
Retrieved cases
REUSE
Solution Domain
Retrieved Solutions
RETAIN
Revised solution
REVISE

7. Ant Optimization (concept)[3]B C D

8. Backpropagation[4]
Output layer
hidden layer
input layer

9. Framework of ASCA-BP CBR Sys[5]
Cases
Client
Web
Server BP
ASCA
Solutions

10. Applications of CBR Maintenance Delivery plan
Web customers segmentation
Failure analysis
Sales support …

11. Bibliography [1] CBR from Wikipedia
based_reasoning
[2] David B.Leake, “Case-Based Reasoning”, AAAI Press,
The MIT Press, 1996.
[3]
[4] Judith E. Dayhoff, “Neural network architectures : an
introduction “, Van Nostrand Reinhold, 1990
[5] R.J. Kuo, C.L.Cha, S.H. Chou, “Developing a diagnostic system through integration of ant colony optimization systems and case-based reasoning,” International Journal of Advanced Manufacturing Technology, pp.1-11, March 2006.

12. Thank You ?