摘要
提出了一种隶属度可编程的模糊识别器。该识别器采用“求和－排序”模糊操作进行模式识别。其中，隶属函数可以根据需要进行编程，以满足不同应用场合的要求。采用单层金属、单层多晶的２μｍＮ阱标准数字ＣＭＯＳ工艺成功地制作了该模糊处理器中的核心单元电路的芯片。测试结果表明，这些电路芯片的性能很好。
A membership programmable fuzzy recognizer is proposed. The processor employed the “Sum Sorting” fuzzy operation in order to improve the performance of recognition. In the processor, membership function is programmable to meet the requirements of different fields. The core circuits in the fuzzy integrated circuit have been successfully manufactured in 2μm N well standard digital CMOS process. Experimental results show these circuits have good performance.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第S1期32-35,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家"九五"科技攻关项目
关键词
模式识别
模糊处理器
可编程
超大规模集成电路
pattern recognition
fuzzy processor
programmable
very large scale integrated circuit (VLSIC)
