DocumentCode
3254349
Title
Case-based diagnostic system using fuzzy neural network
Author
Liu, Zhi-Qiang ; Yan, Francis
Author_Institution
Dept. of Comput. Sci., Melbourne Univ., Carlton, Vic., Australia
Volume
6
fYear
1995
fDate
Nov/Dec 1995
Firstpage
3107
Abstract
In this paper, we describe a case-based system using fuzzy logic type neural networks for diagnosing electronic systems. We present a brief derivation of OR and AND neurons and the architecture of our system. To illustrate the effectiveness of the proposed system, we show experimental results on real data from call logs collected at the technical support centre in Ericsson Australia
Keywords
case-based reasoning; diagnostic expert systems; electronic equipment testing; fault diagnosis; fuzzy logic; fuzzy neural nets; AND neurons; OR neurons; call logs; case-based diagnostic system; electronic systems; fault diagnosis; fuzzy logic; fuzzy neural network; neural networks; telecommunication systems; Australia; Computer vision; Equations; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Humans; Machine intelligence; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487280
Filename
487280
Link To Document