A low power consumption and compact mixed-signal Gaussian membership function circuit for neural/fuzzy hardware

In this paper a new mixed-signal cmos integrated circuit implementation of a Gaussian membership function for neural/fuzzy hardware is presented. This GMF circuit is based on upgraded version of a linear adjustable transconductor and implements any four types of membership function: s-function, z-fu...

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Main Authors: Pour, Mehdi Esmaeil, Mashoufi, B.
Format: Conference Proceeding
Language:English
Subjects:
CMOS buffer
CMOS integrated circuits
CMOS technology
Current-mode
Differential pair (DP)
Gaussian Membership Function (GMF)
Logic gates
Mixed-signal
Shape
Threshold voltage
Transistors
Voltage control
Voltage-mode
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Mashoufi, B.
description In this paper a new mixed-signal cmos integrated circuit implementation of a Gaussian membership function for neural/fuzzy hardware is presented. This GMF circuit is based on upgraded version of a linear adjustable transconductor and implements any four types of membership function: s-function, z-function, trapezoidal and triangular function with all various parameters (slope, width, height and position) independently and continuously tunable. Programmability of purposed GMF circuit can be acceded by varying the reference voltages and the size of transistors in the differential pairs. The computer simulations that verify the performance of this circuit are given, showing high speed with low power consumption. The purposed circuit was developed in CMOS 0.35μm technologies.
doi_str_mv 10.1109/ICEDSA.2011.5959052
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects CMOS buffer
CMOS integrated circuits
CMOS technology
Current-mode
Differential pair (DP)
Gaussian Membership Function (GMF)
Logic gates
Mixed-signal
Shape
Threshold voltage
Transistors
Voltage control
Voltage-mode
title A low power consumption and compact mixed-signal Gaussian membership function circuit for neural/fuzzy hardware
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