Title :
An artificial immune system for visual applications with CNN-UM
Author :
Cserey, Gy ; Falus, A. ; Porod, W. ; Roska, T.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
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 on 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.
Keywords :
biological techniques; biology computing; cellular neural nets; pattern recognition; visual perception; AIS model; CNN algorithms; CNN-UM; artificial immune system; clonal selection module; ordinary bone marrow model; real time applications; template affinity; thymus model; visual applications; Artificial immune systems; Automation; Biomedical imaging; Bones; Genetics; Immune system; Information technology; Pathogens; Pattern recognition; Peptides;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328672
