Neural network and fuzzy database for power electronic design automation

Y.C. Liang, H. Yee, V. Gosbell
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引用次数: 0

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.<>
电力电子设计自动化的神经网络与模糊数据库
提出了一种基于人工神经网络的电路设计自动机(CDA)和模糊集数据库来辅助电力电子电路的设计。CDA能够在使用电路仿真之前进行初步的近似电路设计,从而减少了总设计时间。为验证系统性能,对两种情况进行了减震器设计。还开发了一个包含模糊、非模糊和字母记录的模糊数据库,以便在搜索元件时弥合电路仿真结果与制造商提供的数据之间的差距。数据库中的记录可以模糊检索,也可以精确检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.40
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0.00%
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