Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:B4L-C
Session:
Number:B4L-C2
Quinary Adder LOGO Neural Network Based on Mixed Radices
Hassan Amin Osseily, Ali Massoud Haidar,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
Our objective in this paper is to demonstrate an optimized method of the addition process in Quinary Logic (QL) adders, and which we will call the “mixed radices of Quinary / binary”. Upon mixing radices (quinary / binary), we will be able to represent quinary numbers by using binary vectors with only two bits instead of three bits. Implementing this method, by using the Logic Oriented Neural Network (LOGO-NN), will enable us as well to reduce the number of needed elements and interconnections. The proposed adder will be compared with other techniques in order to evaluate its performance.