A connectionist model for selection of cases

Information Sciences

Volumn 132, Issue 1-4, 2001, Pages 179-194

  De, Rajat K ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Case based reasoning; Classification; Fuzzy similarity; Node growing; Node pruning

Indexed keywords

DECISION MAKING; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

CONNECTIONIST MODEL; NODE GROWING; NODE PRUNING;

ARTIFICIAL INTELLIGENCE;

EID: 0035247097     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(01)00070-6     Document Type: Article

References (12)

1. A neural network model for case-based reasoning
2. A hybrid system for case-based reasoning
3. A comparison of nearest neighbor, rule induction and neural networks for the recommendation of treatment at anticoagulant out-patient clinics
4. A case study of case indexing: Designing index feature sets to suit task demands and support parallelism
5. A connectionist indexing approach for CBR systems
6. Using a neural network in a CBR system
7. Using a neural network to learn general knowledge in a case-based system
8. A neural expert system with automated extraction of fuzzy if-then rules and its application to medical diagnosis
9. Fuzzy measures in determining seed points in clustering