DocumentCode
2898116
Title
Artificial neural networks and artificial immune systems: similarities and differences
Author
Dasgupta, Dipankar
Author_Institution
Dept. of Math. Sci., Memphis State Univ., TN, USA
Volume
1
fYear
1997
fDate
12-15 Oct 1997
Firstpage
873
Abstract
Both the nervous system and the immune system are complex biological systems. Recognition and categorization are the major functions of both systems. The information processing principles of these natural systems inspired in developing intelligent problem-solving techniques, namely, the artificial neural network (ANN) and the artificial immune system (AIS). Though ANNs are well established techniques and are widely used, AISs have received very little attention and there have been relatively few applications of the AIS. This paper briefly describes some of the similarities and differences of these two systems from a computational viewpoint. The paper also reports some preliminary comparative results of the artificial systems
Keywords
biocybernetics; learning systems; neural nets; artificial immune systems; artificial neural network; information processing; intelligent problem-solving; nervous system; Artificial immune systems; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological systems; Immune system; Information processing; Lymph nodes; Nervous system; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.626212
Filename
626212
Link To Document