Your future now!
  • English
  • Bosanski
  • Türkçe

An Organized Committee of Artificial Neural Networks in the Classification of Human Chromosomes

TitleAn Organized Committee of Artificial Neural Networks in the Classification of Human Chromosomes
Publication TypeJournal Article
Year of Publication2013
AuthorsGagula-Palalic, S, Can, M
Journal International Journal of Computer Applications
Volume80
Issue8
Pagination38-41
Date Published10/2013
ISBN Number973-93-80878-28-3
Abstract

Neural networks are organized in committees to improve the correctness of the decisions created by artificial neural networks (ANN's). In the classification of human chromosomes, it is accustomed to use multilayer perceptrons with multiple (22-24) outputs. Because of the huge number of synaptic weights to be tuned, these classifiers cannot go beyond a level of 92% overall correctness. In this study we represent a special organized committee of 462 simple perceptrons to improve the rate of correct classification of 22 types of human chromosomes. Each of these simple perceptrons is trained to distinguish between two types of chromosomes. When a new data is entered, the votes of these 462 simple perceptrons and additional 22 dummy perceptrons create a decision matrix of the size 22×22. By a special assembling of these votes we get a higher rate of correct classification of 22 types of human chromosomes.

DOI10.5120/13884-1789
Refereed DesignationRefereed