Title :
A learning automata based artificial immune system for data classification
Author :
Azandaryani, A. H Momeni ; Meybodi, M.R.
Author_Institution :
Dept. of Comput. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper we propose an artificial immune system in which learning automata are used to adaptively determine the values of its parameters. Learning automata are used for altering the shape of receptor portion of antibodies to better complementarily match the confronted antigen. In order to show the effectiveness of the proposed artificial immune computer experiments have been conducted. The result of experimentations confirms the effectiveness of the proposed model.
Keywords :
artificial immune systems; learning automata; pattern classification; artificial immune computer experiments; data classification; learning automata based artificial immune system; Artificial immune systems; Classification algorithms; Cloning; Fault detection; Humans; Immune system; Intrusion detection; Learning automata; Pathogens; Shape;
Conference_Titel :
Computer Conference, 2009. CSICC 2009. 14th International CSI
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-4261-4
Electronic_ISBN :
978-1-4244-4262-1
DOI :
10.1109/CSICC.2009.5349634
