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基于CMOS模拟电路的高速模糊神经网络设计 被引量:1

Analog Circuits for High-Speed Complex Neural-Fuzzy Network
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摘要 本文提出了可构成多规则模糊神经网络的CMOS模拟单元电路,包括:类Gauss型隶属度函数电路,电压求小电路和重心算法去模糊电路.基于这些电路设计了一个两输入/一输出、25条规则的控制系统,并通过非线性函数逼近进行了验证.所有单元均采用SMIC 0.18-μm CMOS数模混合工艺制造,芯片测试结果表明:提出的单元电路结构简单,输出电压偏差小,便于扩展和调节;因而适于实现多规则,自适应调节的高速高精度控制系统. This paper proposes several improved CMOS analog circuits for neuro-fuzzy network, including Gaussian-like membership function circuit, minimization circuit, and a centroid algorithm defitzzier circuit without using division. A two-input/oneoutput neuro-fuzzy network composed of these circuits is implemented and testified for non-linear function approximating. All the circuits have been fabricated in SMIC 0.18-μm CMOS technology. Experiment results show that all the proposed circuits provide characteristics of high operation capacity ,high speed, and simple structures. They are very suitable for rapid implementation of highspeed complex neuro-fuzzy networks.
出处 《电子学报》 EI CAS CSCD 北大核心 2007年第5期946-949,共4页 Acta Electronica Sinica
关键词 模糊神经网络 CMOS模拟电路 重心算法 neuro-fuzzy network CMOS analog circuit centroid algorithm
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参考文献13

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同被引文献15

  • 1徐志浩,靳东明,李志坚.新结构重心法去模糊单元电路设计[J].清华大学学报(自然科学版),2006,46(1):119-121. 被引量:2
  • 2PREMKUMAR K, MANIKANDAN V.Adaptive Neuro- fuzzy inference system based speed controller for brush- less DC motor[ J ].Neurocomputing, 2014,138 : 260-270.
  • 3ILUMINADA B,ANDRKS G,NGEL B.Neuro-fuzzy tech- niques to optimize an FPGA embedded controller for ro- bot navigation [ J] .Applied Soft Computing, 2014,21 : 95 - 106.
  • 4De Jesus Navas-Gonzalez K, Vidal-Verdu F, Rodrigue- Vazque A, et al. Neuro-fuzzy chip to handle complex tasks with analog performance [ J ]. IEEE Trans Neural Networks ,2003,14(5) : 1 375-1 392.
  • 5COSMIN P. Low-voltage improved accuracy Gaussian function generator with fourth-order approximation[ J ]. Microelectronics Journal, 2012,43 : 515-520.
  • 6TAHA K, EKHATIB M, BSDAWI S. Design of a fuzzy logic programmable membership function circuit [ C ]. 17th National Radio Science Conference,2000.Doi: 10. 1109/NRSC.2000.838949.
  • 7PIPAT P, KITTIKHUN C. CMOS WTA maximum and minimum circuits with their applications to analog switch rectifyiers [ J ]. Microelectronics Journal, 2011, 42: 52-62.
  • 8PROMMEE P, ANGKEAW K, DKJAN K.CMOS-based near zero-offset multiple inputs max - min circuits and its applications [ J ] .Analog Integrated Circuit and Signal Processing, 2009,61:93-105.
  • 9ALIREZA P, ABDOLLAH K, KHEYROLLAH H. Design of a general proposed neuro-fuzzy controller by using modified adaptive network based fuzzy inference sys- tem [ J ].Int J Electron Commun, 2010,64:433-442.
  • 10YOSEFI GH,AMINIFAR S ,NEDA S.Design of a mixed- signal digital CMOS fuzzy logic controller (FLC) chip using new current mode circuits[ J] .International Jour- nal of Electronics and Communications, 2011,65 : 173- 181.

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