Cart (Loading....) | Create Account
Close category search window

Design of a neural network-based digital multiplier

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Biederman, D.C. ; Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA ; Ososanya, E.T.

The successful design of computational systems is often predicated on the realization of fast multiplication in digital or analog hardware. A key design issue is the tradeoff between speed, complexity, and chip area. With this in mind, an innovative fast neural network-based digital multiplier has been designed, trained, and implemented in VLSI using 1 micron double polysilicon CMOS technology. The design is constructed of modules consisting of three basic neural network components: a 2×2 adder, a 2×2 multiplier, and a 3×2-bit adder. The modular approach allows scalability of the multiplier circuit. The neural network circuitry is based on neuMOS transistors. A neuMOS transistor is a metal oxide semiconductor device with several fixed gates (inputs) and a floating gate. The capacitances between the fixed gates and the floating gate constitute the neural network weights. A comparison of speed in terms of gate delays and neuron delays, shows that the neural network-based multiplier was 2 to 3 orders of magnitude faster than the Wallace Tree and ROM-based digital multipliers

Published in:

System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on

Date of Conference:

9-11 Mar 1997

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.