[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/JKIIS.2006.16.5.627

CMOS neuron activation function CMOS 뉴런의 활성화 함수

Kang, Min-Jae (제주대학교 전기.전자공학부)
Kim, Ho-Chan (제주대학교 전기.전자공학부)
Song, Wang-Cheol (제주대학교 정보공학과)
Lee, Sang-Joon (제주대학교 정보공학과)

Publication Information

Journal of the Korean Institute of Intelligent Systems / v.16, no.5, 2006 , pp. 627-634 More about this Journal

Abstract

We have proposed the methods how to control the slope of CMOS inverter's characteristic and how to shift it in y axis. We control the MOS transistor threshold voltage for these methods. By observing that two transistors are in saturation region at the center of the CMOS inverter's characteristic, we have presented how to make the characteristic for one pole neuron. The circuit level simulation is used for verifying the proposed method. PSpice(OrCAD Co.) is used for circuit level simulation.

Keywords

CMOS inverter; Characteristic; Threshold voltage; Saturation region; One pole neuron; Circuit level simulation; PSpice;

Citations & Related Records

Reference

1	T. Higuchi and M. Kameyarna. 'Multiple-Valued digital Processing System'. Syokoda, Japan, 1989
2	Motoi Inaba, Koichi Tanno, 'Analog Inverter with Neuron-MOS Transistors and Its Application,' IEICE Trans. Fundamentals. vol. E85-A, pp.366-372, February 2002
3	J,Shen, K. Tanno, and O. Ishizuka. 'Design and Analysis of down literal circuit using neuron-MOS transistors'. In Proc. 12th MVL Research Society of Japan, pp. 1-9, 1999
4	Massimo Conti, 'Analog CMOS Implementation of Approximate Identity Neural Networks,' IEICE Trans. Fundamentals. vol. E80 A, pp.427-433, February 1997
5	Bo Liu; Frenzel, J.F., 'A CMOS neuron for VLSI circuit implementation of pulsed neural networks,' IECON 02 vol. 4, pp.3182-3185, Nov. 2002 DOI
6	Anthony N. Michel, Jay A. Farrel and Wolfgang Porod, 1989, 'Qualitative Analysis of Neural Networks.' IEEE Trans. Circuits Syst., vol 36, pp. 229-243, February 1989 DOI ScienceOn
7	Hopfield, J. J., and D. W. Tank., 'Computing with Neural Circuits: A Model,', Science, vol 233, pp.625-633, 1986 DOI
8	Amit K Gupta, and Navakanta Bhat, 'Hardware Realization of a Digitally Controllable Neuron Activation Function and its Derivative for Extremely Low Power Application,' IEICE Trans. Fundamentals. vol. E82-A, pp.1582-1587, August 1999
9	A. J. Annema, 'Hardware Realization of a Neuron Transfer Function and its Derivatives', Electron. Lett., vol.30, pp.576-577, 1994 DOI ScienceOn
10	Zurada, J. M.: Introduction to Artificial Neural Systems. 1st edn. West, St. Paul MN. (1992)
11	G. Bogason, 'Generation of a Neuron Transfer Function and its Derivatives', Electron. Lett., vol.29, pp.1867-1869, 1993 DOI ScienceOn