An artificial immune system for visual applications with CNN-UM

Gy Cserey, A. Falus, W. Porod, T. Roska

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

In this paper we introduce an artificial immune system model based on CNN algorithms and one of its sample applications. The model is based on the ordinary bone marrow and thymus model. We define the template affinity in the clonal selection module. This module gives the adaptability and memory functionality extensions of our AIS model. The results and time measurements show that our model can be implemented in real-time applications.

Original languageEnglish
Pages (from-to)III17-III20
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume3
Publication statusPublished - Sep 7 2004
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: May 23 2004May 26 2004

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An artificial immune system for visual applications with CNN-UM'. Together they form a unique fingerprint.

  • Cite this