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
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;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487280
