Title :
A neural expert system concept applied to diagnostics
Author :
Drabarek, Jozef ; Wirski, Robert
Author_Institution :
Dept. of Electron., Tech. Univ. of Koszalin, Poland
fDate :
6/23/1905 12:00:00 AM
Abstract :
Constructed by the authors, the neural expert system applied to diagnostics is presented. The system consists of a rule expert system and a neural expert system, based on a three layer backpropagation neural network. It is used to diagnose a radar set. To code the knowledge, a suitable representation language is proposed. As an example, network learning results for selected rules are presented
Keywords :
backpropagation; diagnostic expert systems; knowledge representation languages; neural nets; radar computing; radar receivers; diagnostics; knowledge coding; network learning; neural expert system; radar set diagnostics; radar set receiver; representation language; rule expert system; three layer backpropagation neural network; Anodes; Artificial neural networks; Circuit faults; Databases; Diagnostic expert systems; Expert systems; Neural networks; Power amplifiers; Radar; Voltage-controlled oscillators;
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
DOI :
10.1109/ICECS.2001.957454