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
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;
Conference_Titel :
Computer Systems and Applications, ACS/IEEE International Conference on. 2001
Conference_Location :
Beirut
Print_ISBN :
0-7695-1165-1
DOI :
10.1109/AICCSA.2001.933951
