Skip to main content
SpringerLink
Log in
Book cover

International Conference on Pattern Recognition

ICPR 2010: Recognizing Patterns in Signals, Speech, Images and Videos pp 66–74Cite as

Real-Valued Negative Selection (RNS) for Classification Task

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6388))

Abstract

This work presents a classification technique based on artificial immune system (AIS). The method consists of a modification of the real-valued negative selection (RNS) algorithm for pattern recognition. Our approach considers a modification in two of the algorithm parameters: the detector radius and the number of detectors for each class. We present an illustrative example. Preliminary results obtained shows that our approach is promising. Our implementation is developed in Java using the Weka environment.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Forrest, S., Perelson, A.S., Allen, L., Cherukuri, R.: Self-nonself discrimination in a computer. In: IEEE Symposium on Research in Security and Privacy. IEEE Computer Society Press, Los Alamitos (1994)

    Google Scholar 

  2. Gonzalez, F., Dasgupta, D., Kozma, R.: Combining negative selection and classification techniques for anomaly detection. In: Congress on Evolutionary Computation, Hawaii, pp. 705–710. IEEE, Los Alamitos (2002)

    Google Scholar 

  3. Frank, A., Asuncion, A.: UCI machine learning repository (2010), http://archive.ics.uci.edu/ml/

  4. BrainWeb: Simulated brain database (June 2006), http://www.bic.mni.mcgill.ca/brainweb/

Download references

Author information

Authors and Affiliations

  1. Universidade Federal de Itajubá - UNIFEI, Av. BPS, 1303, Pinheirinho, Itajubá, MG, 37500 903, Brazil

    Luiz Otávio Vilas Boas Oliveira & Isabela Neves Drummond

Authors
  1. Luiz Otávio Vilas Boas Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Isabela Neves Drummond
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineering Department, Çırağan Caddesi, Bahçeşehir University, 34353, Beşiktaş, Istanbul, Turkey

    Devrim Ünay

  2. Electrical and Electronics Engineering Department, Maslak, Istanbul Technical University, 34469, Sariyer, Istanbul, Turkey

    Zehra Çataltepe

  3. Department of Computer Engineering, Bilkent University, 06800, Ankara, Turkey

    Selim Aksoy

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Oliveira, L.O.V.B., Drummond, I.N. (2010). Real-Valued Negative Selection (RNS) for Classification Task. In: Ünay, D., Çataltepe, Z., Aksoy, S. (eds) Recognizing Patterns in Signals, Speech, Images and Videos. ICPR 2010. Lecture Notes in Computer Science, vol 6388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17711-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17711-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17710-1

  • Online ISBN: 978-3-642-17711-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation