Table of Contents
ISRN Signal Processing
Volume 2013, Article ID 748914, 11 pages
http://dx.doi.org/10.1155/2013/748914
Research Article

A Novel Neuron in Kernel Domain

1Department of Computer Science, Ferdowsi University of Mashhad, Mashhad, Iran
2Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Iran

Received 23 June 2013; Accepted 22 July 2013

Academic Editors: A. Krzyzak and L. Zhang

Copyright © 2013 Zahra Khandan and Hadi Sadoghi Yazdi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Kernel-based neural network (KNN) is proposed as a neuron that is applicable in online learning with adaptive parameters. This neuron with adaptive kernel parameter can classify data accurately instead of using a multilayer error backpropagation neural network. The proposed method, whose heart is kernel least-mean-square, can reduce memory requirement with sparsification technique, and the kernel can adaptively spread. Our experiments will reveal that this method is much faster and more accurate than previous online learning algorithms.