CALL FOR PAPERS

CERTIFICATE

IMPACT FACTOR 2018

Subject Area

  • Life Sciences / Biology
  • Architecture / Building Management
  • Asian Studies
  • Business & Management
  • Chemistry
  • Computer Science
  • Economics & Finance
  • Engineering / Acoustics
  • Environmental Science
  • Agricultural Sciences
  • Pharmaceutical Sciences
  • General Sciences
  • Materials Science
  • Mathematics
  • Medicine
  • Nanotechnology & Nanoscience
  • Nonlinear Science
  • Chaos & Dynamical Systems
  • Physics
  • Social Sciences & Humanities

Why Us? >>

  • Open Access
  • Peer Reviewed
  • Rapid Publication
  • Life time hosting
  • Free promotion service
  • Free indexing service
  • More citations
  • Search engine friendly

Plagiarism Detection

IJCR is following an instant policy on rejection those received papers with plagiarism rate of more than 20%. So, All of authors and contributors must check their papers before submission to making assurance of following our anti-plagiarism policies.

Effects of data preprocessing on the efficiency of taxonomic neural networks

Author: 
Dragan Popovic, Evagelia Boli, Ankica Hosek-Momirovic, Milos Popovic, Vladimir Savic and Jasna Popovic
Subject Area: 
Life Sciences
Abstract: 

Objectives: For the classification of respondents drawn from different populations and described by different sets of variables, six taxonomic neural networks designed in a similar manner, but supplied with different preprocessors for input data transformation, were applied. Methods: The standard method used to classify objects was implemented by an Intruder neural network variation (Momirovic, Hosek. Popovic & Boli, 2002) codenamed Intruds. This network only standardizes input data, but does not perform any additional transformations over them. Results: Each of these networks consisted of Lebart`s adaptive perceptrons (Lebart, 1998) which classified objects by means of a backward error propagation technique at the output end. The initial classification in all the networks was carried out by transformation of a fuzzy classification, defined by the objects` position on the periphery of the hyperellipsoid formed by a semiorthogonal transformation of principal components of variables subjected to a monotonic transformation, into a hard classification. The final classification efficiency was checked by each network based on the outcome of a posteriori classification performed by Fisher`s linear classifiers in the total space of eventually transformed variables. The neural networks under the basic code name Invader perform nonlinear monotonic transformations over these data. Invader 1 transforms variables into sigmoid (0,1) form, Invader 2 transforms variables into sigmoid (-1,1) form, and Invader 3 – into staircase (-1, 0, 1) form. The neural network codenamed Bibltax reduces to zero all standardized values which differ from the expected value in the sample of objects by one half of the standardized deviation in order to eliminate noise produced by poorly differentiated objects; and the Exnetg neural network, a variation of the Exelnet neural network (Momirovic, 2002), transforms variables into standardized image form to eliminate noise produced by the unique variance of measurement instruments. Conclusions: Comparative analysis of the effectiveness of these taxonomic networks clearly shows that, in the all cases, better taxonomic effectiveness, or surer breaking up of the analyzed set of objects, is achieved by means of data preprocessing

PDF file: 

IJMCE RECOMMENDATION

ONLINE PAYPAL PAYMENT

CURRENT ISSUE

NEWS

CHIEF EDITOR
Rosane Cavalcante Fragoso, Brasil
ASSOCIATE CHIEF EDITOR

   

Jean-Marc SABATIER
Chief Scientific Officer and Head of a Research Group
France

Advantages of IJCR

  • Rapid Publishing
  • Professional publishing practices
  • Indexing in leading database
  • High level of citation
  • High Qualitiy reader base
  • High level author suport

EDITORIAL BOARD

Luai Farhan Zghair
Iraq
Hasan Ali Abed Al-Zu’bi
Jordanian
Fredrick OJIJA
Tanzanian
Firuza M. Tursunkhodjaeva
Uzbekistan
Faraz Ahmed Farooqi
Saudi Arabia
Eric Randy Reyes Politud
Philippines
Elsadig Gasoom FadelAlla Elbashir
Sudan
Eapen, Asha Sarah
United State
Dr.Arun Kumar A
India
Dr. Zafar Iqbal
Pakistan
Dr. SHAHERA S.PATEL
India
Dr. Ruchika Khanna
India
Dr. Recep TAS
Turkey
Dr. Rasha Ali Eldeeb
Egypt
Dr. Pralhad Kanhaiyalal Rahangdale
India
DR. PATRICK D. CERNA
Philippines
Dr. Nicolas Padilla- Raygoza
Mexico
Dr. Mustafa Y. G. Younis
Libiya
Dr. Muhammad shoaib Ahmedani
Saudi Arabia
DR. MUHAMMAD ISMAIL MOHMAND
United State
DR. MAHESH SHIVAJI CHAVAN
India
DR. M. ARUNA
India
Dr. Lim Gee Nee
Malaysia
Dr. Jatinder Pal Singh Chawla
India
DR. IRAM BOKHARI
Pakistan
Dr. FARHAT NAZ RAHMAN
Pakistan
Dr. Devendra kumar Gupta
India
Dr. ASHWANI KUMAR DUBEY
India
Dr. Ali Seidi
Iran
Dr. Achmad Choerudin
Indonesia
Dr Ashok Kumar Verma
India
Thi Mong Diep NGUYEN
France
Dr. Muhammad Akram
Pakistan
Dr. Imran Azad
Oman
Dr. Meenakshi Malik
India
Aseel Hadi Hamzah
Iraq
Anam Bhatti
Malaysia
Md. Amir Hossain
Bangladesh
Ahmet İPEKÇİ
Turkey
Mirzadi Gohari
Iran