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 :
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