@inproceedings{c4bcf566dc1343b6bcbaa009e6cdbaed,
title = "{\c C}arpmasiz Yapay Sinir Aʇi",
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.",
keywords = "Artificial Neural Network, Multiplication-free Operator",
author = "Akba{\c s}, \{Cem Emre\} and Alican Bozkurt and {\c C}etin, \{A. Enis\} and Rengul {\c C}etin-Atalay and Ay{\c s}eg{\"u}l {\"U}ner",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",
year = "2015",
month = jun,
day = "19",
doi = "10.1109/SIU.2015.7130369",
language = "T{\"u}rk{\c c}e",
series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2416--2418",
booktitle = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
address = "!!United States",
}