Title :
FUZZYRULEXT: extraction technique of if/then rules for fuzzy neural nets
Author :
Brasil, Lourdes M. ; De Azevedo, Fernando M. ; Moraes, Raimes
Author_Institution :
Dept. of Electr. Eng., Univ. Federal de Santa Catarina, Brazil
Abstract :
User explanation is an important function in artificial intelligence. Experience with expert systems and artificial neural networks (ANN) has shown that the ability to generate explanations is absolutely crucial for user acceptance, mainly in the medical area. ANNs traditionally have had difficulties with generating explanation structures. With this in mind, this paper presents an extraction technique of rules for a fuzzy ANN AND/OR
Keywords :
explanation; fuzzy neural nets; medical expert systems; FUZZYRULEXT; epileptic crises classification; explanation structures; fuzzy neural nets; if/then rules extraction; user acceptance; user explanation; Artificial intelligence; Artificial neural networks; Diseases; Fuzzy logic; Fuzzy neural networks; Knowledge based systems; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Neural networks;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.897967
