Multiplication-Free Neural Networks


Akbas C. E. , Bozkurt A., ÇETİN A. E. , Cetin-Atalay R., ÜNER A.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.2416-2418 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2015.7130369
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.2416-2418
  • Hacettepe University Affiliated: Yes

Abstract

In this article, a multiplication-free artificial Neural Network (ANN) structure is proposed. Inner products between the input vectors and the ANN weights are implemented using a multiplication-free vector operator. Training of the new artificial neural network structure is carried out using the sign-LMS algorithm. Proposed ANN system can be used in applications requiring low-power usage or running on microprocessors that have limited processing power.