DocumentCode
3244063
Title
Neural expert system with two engines of rough set
Author
Yahia, Moawia Elfaki ; Mahmod, Ramlan
Author_Institution
Fac. of Math. Sci., Khartoum Univ., Sudan
fYear
2001
fDate
2001
Firstpage
52
Lastpage
58
Abstract
A new method for preprocessing input to a neural network based on rough sets analysis is proposed. The method is used to construct two engines of rough sets within the frame of a neural expert system. As an example, a neural expert system for medical diagnosis was built using the two engines. The resulting model is evaluated by a fivefold cross-validation technique. The obtained result shows consistency of the given data and the classification given by experts
Keywords
case-based reasoning; medical diagnostic computing; medical expert systems; neural nets; patient diagnosis; rough set theory; fivefold cross-validation technique; input preprocessing; medical diagnosis; neural expert system; neural network; rough set analysis; rough set engines; Diagnostic expert systems; Engines; Expert systems; Fuzzy neural networks; Hybrid intelligent systems; Information systems; Input variables; Medical expert systems; Neural networks; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, ACS/IEEE International Conference on. 2001
Conference_Location
Beirut
Print_ISBN
0-7695-1165-1
Type
conf
DOI
10.1109/AICCSA.2001.933951
Filename
933951
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