Learning Automata Based Artificial Immune System for Data Classification

سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,088

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شناسه ملی سند علمی:

CSICC14_035

تاریخ نمایه سازی: 24 خرداد 1388

چکیده مقاله:

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

نویسندگان

A.H Momeni Azandaryani

Soft Computing Laboratory Department of Computer Engineering and Information Technology Amirkabir University of Technology Tehran, Iran

M.R Meybodi

Soft Computing Laboratory Department of Computer Engineering and Information Technology Amirkabir University of Technology Tehran, Iran