Title :
Neural network and fuzzy database for power electronic design automation
Author :
Liang, Y.C. ; Yee, H. ; Gosbell, V.J.
Author_Institution :
Sch. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
An artificial neural network-based circuit design automator (CDA) and a fuzzy-set-based database are proposed to assist in the design of power electronic circuits. The CDA is capable of carrying out a preliminary, approximate circuit design prior to the use of circuit simulation, thus reducing the total design time. Snubber design has been carried out for two cases to demonstrate system performance. A fuzzy database has also been developed which contains fuzzy, nonfuzzy, and alphabetical records to bridge the gap, when searching for components, between the results obtained from circuit simulation and the data provided by manufacturers. The records in the database can be retrieved either fuzzily or exactly
Keywords :
artificial intelligence; circuit CAD; fuzzy logic; neural nets; power electronics; CAD; artificial neural networks; components; fuzzy database; performance; power electronic circuits; simulation; snubbers; Artificial neural networks; Bridge circuits; Circuit simulation; Circuit synthesis; Databases; Fuzzy neural networks; Neural networks; Power electronics; Snubbers; System performance;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149293
