DocumentCode
1905869
Title
Implementation of O(n) complexity max/min circuits for fuzzy and connectionist computing
Author
Hassoun, Mohamad H. ; Nabha, Ali M.
Author_Institution
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
fYear
1993
fDate
1993
Firstpage
998
Abstract
O(n ) complexity electronic circuits are proposed for maximum (minimum) selection/propagation of n analog input voltages. The proposed min/max circuits employ electronic amplifiers and diodes and are easily realizable with CMOS VLSI technology. Theoretical analysis and experimental results with off-the-shelf components are presented. These circuits are of low complexity in the sense that the number of transistors and/or connections required scales linearly in the number of inputs, n . An analytical expression for the accuracy of the proposed circuits in terms of the number of inputs and amplifier gain is derived. It shows that high-resolution low-complexity analog max/min modules are feasible. The authors´ results hinge on the ability to map a sequential algorithm for the computation of Max (Min) functions onto a simple collective computing architecture
Keywords
CMOS integrated circuits; VLSI; analogue computer circuits; analogue processing circuits; fuzzy logic; neural nets; CMOS VLSI technology; O(n) complexity max/min circuits; amplifier gain; connectionist computing; electronic amplifiers; fuzzy computing; sequential algorithm; Analog computers; CMOS technology; Circuits; Computer architecture; Computer networks; Fuzzy systems; Hardware; Neural networks; Neurons; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298694
Filename
298694
Link To Document