Table of Contents
Advances in Artificial Neural Systems
Volume 2013, Article ID 278241, 18 pages
http://dx.doi.org/10.1155/2013/278241
Research Article

Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification

Computer Engineering Institute, The Technological University of the Mixteca (UTM), Carretera Huajuapan-Acatlima Km 2.5, 69004 Huajuapan de León, OAX, Mexico

Received 27 June 2013; Revised 19 September 2013; Accepted 18 November 2013

Academic Editor: Juan Ignacio Arribas

Copyright © 2013 Ricardo Pérez-Aguila. 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.

How to Cite this Article

Ricardo Pérez-Aguila, “Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification,” Advances in Artificial Neural Systems, vol. 2013, Article ID 278241, 18 pages, 2013. https://doi.org/10.1155/2013/278241.